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994 positions found — Page 5
S
Summer 2026 - QA Engineering Internship
✦ New
Salary not disclosed
About Us
We're continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.
The Opportunity
The goal is to have interns turn into full time employees; Therefore, you will be given full time responsibilities day one. To add onto that, you will be working in a high velocity growth startup and will be required to move fast. You'll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.
Compensation Structure: Base position is unpaid, however qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.
What You'll Do
*During the internship you may choose the area to focus on...
Application Testing & Quality Assurance
- Design and execute comprehensive test plans for our healthcare portal
- Perform manual testing across web applications, APIs, and integrations
- Identify and document bugs, usability issues, and edge cases
- Test healthcare compliance features (HIPAA, document security, audit trails)
Test Automation Development
- Build automated test suites using modern testing frameworks
- Develop API testing scripts for healthcare data integrations
- Create performance testing scenarios for document upload/processing
- Implement continuous testing pipelines with CI/CD integration
AI/ML Quality Support
- Collaborate with our AI team on document processing accuracy testing
- Help validate machine learning models for healthcare document extraction
- Design test datasets for training and validation of AI systems
- Analyze and report on AI/ML model performance and data quality
Data Engineering Quality Assurance
- Develop data quality monitoring and validation processes
- Create automated checks for data integrity across MongoDB systems
- Build dashboards and alerts for data quality metrics
- Support ETL pipeline testing and validation
Process Improvement & Strategy
- Analyze current QA processes and identify optimization opportunities
- Research and recommend new testing tools and methodologies
- Participate in technical decision-making and sprint planning
- Document QA best practices and create team knowledge base
What We're Looking For
Required Qualifications:
- Currently pursuing or recently completed degree in Computer Science, Engineering, or related field
- Strong understanding of software testing principles and methodologies
- Experience with at least one programming language (Python, JavaScript, Java, etc.)
- Basic knowledge of databases (SQL/NoSQL) and API testing
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to work in a collaborative environment
Preferred Qualifications:
- Experience with test automation frameworks (Selenium, Pytest, Jest, etc.)
- Knowledge of healthcare IT, compliance requirements, or regulated industries
- Familiarity with cloud platforms (AWS) and DevOps practices
- Experience with data analysis, ETL processes, or machine learning
- Previous internship or project experience in QA/testing roles
Technical Skills We'd Love to See:
- Testing Tools: Selenium, Postman, Jest, Pytest, Cypress
- Programming: Python, JavaScript, SQL
- Databases: MongoDB, SQL databases
- Cloud/DevOps: AWS, Docker, CI/CD pipelines
- Data Tools: Pandas, data validation frameworks
- Version Control: Git, GitHub
What You'll Gain
Professional Development:
- Real Impact: Your work directly affects a production healthcare platform used by hospitals
- Mentorship: Work closely with senior engineers and receive structured feedback
- Healthcare Domain Knowledge: Learn about healthcare compliance, accreditation, and regulatory requirements
- Enterprise Technology: Gain experience with production-grade systems, security, and scalability
Technical Skills:
- Advanced testing methodologies and automation frameworks
- Healthcare data processing and compliance requirements
- AI/ML model testing and validation techniques
- Data engineering and quality assurance practices
- Modern DevOps and CI/CD practices
Career Opportunities:
- Immediate Value: Potential upfront equity compensation based on qualifications
- Strong potential for full-time conversion based on performance
- Network with healthcare technology professionals
- Portfolio of real-world healthcare technology projects
- Experience that's highly valued in the growing healthtech sector
Our Tech Stack
- Frontend: React, Modern CSS
- Backend: Node.js, TypeScript, Python, RESTful APIs
- Database: MongoDB, with future SQL integrations
- Cloud: AWS (EC2, S3, Lambda, RDS)
- AI/ML: Document processing, natural language processing
- Security: HIPAA compliance, encryption, audit logging
- DevOps: Docker, GitHub Actions, automated testing
Compensation & Equity
- Base Position: Unpaid educational internship
- Equity/Stock Compensation: Available upfront based on applicant qualifications and experience level
Our Hiring Process
We believe in a transparent and thorough selection process that respects your time while ensuring mutual fit:
- Initial Screening Call We'll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.
- Technical Interview We'll have an in-depth discussion about your experience and explore related technical concepts. You should be prepared to walk through every aspect of quality assurance as it pertains to your resume.
Ready to apply? We look forward to hearing from you!
MedLaunch is an equal opportunity employer committed to diversity and inclusion.
internship
C
Data Insights Analyst | Consumer Packaged Goods Manufacturing
Salary not disclosed
We’re hiring a Data Insights Analyst to join a growing analytics team focused on turning large, complex datasets into clear, actionable insights that drive business decisions. This is a hands-on role for someone who enjoys digging into data, working with Python and SQL, and partnering with leaders to understand what’s really happening in the business. You’ll work across multiple functions and contribute directly to high-impact initiatives around forecasting, performance analysis, and strategic decision-making.
Keys to an Interview: Data Insights Analyst | CPG Manufacturing
- 2-5 years' Data Science and/or Business Analyst experience
- Master's Degree preferred
- Strong working experience with Python for data analysis (and exposure to machine learning is a major plus)
- Advanced SQL skills with the ability to pull and manipulate data from large data warehouses
- Ability to interpret existing dashboards and datasets and identify meaningful insights
- Clear communication skills and comfort explaining technical findings to non-technical stakeholders
- Comfortable working on-site, with flexibility
Key Responsibilities: Data Insights Analyst | CPG Manufacturing
- Analyze large, complex datasets to identify trends, opportunities, and risks across the business
- Leverage Python, SQL, Excel, and Power BI to deliver actionable insights and recommendations
- Build and enhance analytical models to support forecasting, budgeting, and strategic planning
- Develop, maintain, and improve dashboards and reporting used by leadership
- Clean, transform, and validate data to ensure accuracy and consistency
- Partner cross-functionally to understand business questions and translate them into data-driven solutions
- Present findings clearly and concisely to senior stakeholders
- Support automation and process improvements to increase analytical efficiency
- Contribute to high-visibility initiatives that influence growth and long-term strategy
Not Specified
I
Customer Success Manager Technical Specialist
Salary not disclosed
Customer Success Manager Technical Specialist , IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US : Advise customers on the benefits of software solutions deployed on the Red Hat OpenShift container management platform.
Manage and optimize OpenShift deployments to support Artificial Intelligence (AI) and data-related solutions on Cloud Pak for Data.
Implement and maintain internal Watson OpenScale to monitor and interpret AI models performance in in support of customers' AI and machine learning objectives.
Leverage internal Cloud Pak along with Studio and components to manage data, perform analytics, and enhance AI capabilities.
Configure and use additional cartridges such as DataStage or Db2 to extend Cloud Pak for Data functionalities.
Develop and manage containerized applications and services with OpenShift on Cloud Paks to improve deployment efficiency, scalability, and application robustness.
Advise customers on applying AI Operations practices to ensure reliable and efficient AI system operations.
Optimize generative AI models and algorithms for better performance, accuracy, and confidence or ROUGE score optimization.
Design, develop, and implement AI solutions tailored to customer needs.
Engage with client executives to understand their requirements and provide suitable AI and data solutions and strategies.
Create and present tailored solutions that address client needs using the mentioned technologies.
Continuously monitor AI model performance and make necessary adjustments while ensuring compliance with security standards, particularly in the financial services sector.
Utilize: Python, Machine Learning, Pandas, NumPy, Scikit-learn, SQL.
Required: Bachelor's degree or equivalent in Computer Science, Data Science, Engineering, Information Systems, Mathematics or related (employer will accept Associates degree plus two (2) years of IT experience in lieu of a Bachelor's degree) and two (2) years of experience as an Analyst, Technical Specialist or related.
Two (2) years of experience must include utilizing Python, Machine Learning, Pandas, NumPy, Scikit-learn, SQL.
$199998
- $225000 per year.
Please send resumes to
Applicants must reference H270 in the subject line.
JobiqoTJN.
Keywords: Client Services Manager, Location: Armonk, NY
- 10504
Manage and optimize OpenShift deployments to support Artificial Intelligence (AI) and data-related solutions on Cloud Pak for Data.
Implement and maintain internal Watson OpenScale to monitor and interpret AI models performance in in support of customers' AI and machine learning objectives.
Leverage internal Cloud Pak along with Studio and components to manage data, perform analytics, and enhance AI capabilities.
Configure and use additional cartridges such as DataStage or Db2 to extend Cloud Pak for Data functionalities.
Develop and manage containerized applications and services with OpenShift on Cloud Paks to improve deployment efficiency, scalability, and application robustness.
Advise customers on applying AI Operations practices to ensure reliable and efficient AI system operations.
Optimize generative AI models and algorithms for better performance, accuracy, and confidence or ROUGE score optimization.
Design, develop, and implement AI solutions tailored to customer needs.
Engage with client executives to understand their requirements and provide suitable AI and data solutions and strategies.
Create and present tailored solutions that address client needs using the mentioned technologies.
Continuously monitor AI model performance and make necessary adjustments while ensuring compliance with security standards, particularly in the financial services sector.
Utilize: Python, Machine Learning, Pandas, NumPy, Scikit-learn, SQL.
Required: Bachelor's degree or equivalent in Computer Science, Data Science, Engineering, Information Systems, Mathematics or related (employer will accept Associates degree plus two (2) years of IT experience in lieu of a Bachelor's degree) and two (2) years of experience as an Analyst, Technical Specialist or related.
Two (2) years of experience must include utilizing Python, Machine Learning, Pandas, NumPy, Scikit-learn, SQL.
$199998
- $225000 per year.
Please send resumes to
Applicants must reference H270 in the subject line.
JobiqoTJN.
Keywords: Client Services Manager, Location: Armonk, NY
- 10504
Not Specified
S
Junior Java developer/Entry level Data Scientist/AI engineer
Salary not disclosed
500+ Leetcode Problems! —Still No Offers? Let's Get You Offers with SynergisticIT.
You've done a ton of Leetcode.
You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand.
On paper, you're everything a tech company wants.
However tech stacks and requirement change every day.
Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k.
Synergisticit focuses on closing the gap between your tech skills and what employers want now.
Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S.
citizens are encouraged to apply.
Note: Internships, freelance, or personal projects will not be considered toward experience requirements.
If you submit your resume, please be advised it may be entered into a central database shared by our JOPP team (our placement program).
You may unsubscribe if you receive emails.
Check the links below: Please check the below links: SynergisticIT USA Today Article Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Top tech companies are flooded with smart grads.
What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom.
please check the below links Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Backend vs.
Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Is AI Going to Replace Software Programmers? | SynergisticIT The Market's Changed—Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
You've done a ton of Leetcode.
You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand.
On paper, you're everything a tech company wants.
However tech stacks and requirement change every day.
Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k.
Synergisticit focuses on closing the gap between your tech skills and what employers want now.
Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S.
citizens are encouraged to apply.
Note: Internships, freelance, or personal projects will not be considered toward experience requirements.
If you submit your resume, please be advised it may be entered into a central database shared by our JOPP team (our placement program).
You may unsubscribe if you receive emails.
Check the links below: Please check the below links: SynergisticIT USA Today Article Videos of Synergisticit At OCW, JAVAONE, GARTNER SUMMIT We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
Top tech companies are flooded with smart grads.
What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom.
please check the below links Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Backend vs.
Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Is AI Going to Replace Software Programmers? | SynergisticIT The Market's Changed—Have You? Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Not Specified
S
entry level Java Full stack developer/AI engineer
🏢 Synergistic it
Salary not disclosed
CS/IT Graduates or About to be Grads.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
permanent
A
Financial Analyst II
Salary not disclosed
Financial Analyst Akron, OH
- Onsite 24 Months Pay: $38.57 per hour Position Summary: This role supports client’s Vegetation and Program Management teams by developing and maintaining financial and operational reports, dashboards, and analytics.
The position ensures accurate budget tracking, performance monitoring, and executive reporting to support reliability, compliance, and strategic decision-making.
Key Responsibilities • Develop and maintain financial and program performance reports and dashboards.
• Track budgets, forecasts, and expenditures for vegetation and infrastructure programs.
• Perform variance and trend analysis.
• Extract, validate, and reconcile data from enterprise systems.
• Utilize SAP, Power BI, Databricks, SQL, and Python to support reporting and analytics.
• Support management, regulatory, and audit reporting.
• Automate and improve reporting processes.
• Provide ad hoc analysis for leadership and business partners.
Required Qualifications • Bachelor’s degree in finance, Business Analytics, Information Systems, or related field.
• 3+ years of experience in financial analysis or reporting.
• Advanced Excel skills.
• Experience using SAP, Power BI, Databricks, SQL, and Python.
• Strong analytical, organizational, and communication skills Preferred Qualifications • Utility or regulated industry experience.
• Experience supporting large operational or capital programs.
Work Environment • Full-time, in-office position.
• Fast-paced, deadline-driven environment with high visibility.
• Work cross-functionally across departments to drive success • Shared responsibility for outcomes.
- Onsite 24 Months Pay: $38.57 per hour Position Summary: This role supports client’s Vegetation and Program Management teams by developing and maintaining financial and operational reports, dashboards, and analytics.
The position ensures accurate budget tracking, performance monitoring, and executive reporting to support reliability, compliance, and strategic decision-making.
Key Responsibilities • Develop and maintain financial and program performance reports and dashboards.
• Track budgets, forecasts, and expenditures for vegetation and infrastructure programs.
• Perform variance and trend analysis.
• Extract, validate, and reconcile data from enterprise systems.
• Utilize SAP, Power BI, Databricks, SQL, and Python to support reporting and analytics.
• Support management, regulatory, and audit reporting.
• Automate and improve reporting processes.
• Provide ad hoc analysis for leadership and business partners.
Required Qualifications • Bachelor’s degree in finance, Business Analytics, Information Systems, or related field.
• 3+ years of experience in financial analysis or reporting.
• Advanced Excel skills.
• Experience using SAP, Power BI, Databricks, SQL, and Python.
• Strong analytical, organizational, and communication skills Preferred Qualifications • Utility or regulated industry experience.
• Experience supporting large operational or capital programs.
Work Environment • Full-time, in-office position.
• Fast-paced, deadline-driven environment with high visibility.
• Work cross-functionally across departments to drive success • Shared responsibility for outcomes.
Not Specified
S
Junior data analyst/Machine learning engineer
🏢 Synergistic it
Salary not disclosed
CS/IT Graduates or About to be Grads.
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
Get Hired by taking action.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it.
A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one.
That's why many new grads send hundreds of applications and still hear nothing back.
It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs.
Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations (examples often cited include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.
For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in.
If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.
The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out).
Projects look like school assignments (not production-aligned).
Interview skills are undertrained (DSA, system design, SQL, behavioral).
No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery.
Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact & get a roadmap: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Bottom line for fresh grads: Your degree is the starting line, not the finish line.
If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you.
In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume
Not Specified
D
Sr Systems Security Engineer
Salary not disclosed
The Sr.
System Security Engineer will be essential in safeguarding the client’s critical systems and infrastructure by spearheading the design, implementation, and management of comprehensive security strategies.
In this role, the Sr.
System Security Engineer will be the hands-on and the sole System Security Engineer which demands a self-motivated and highly proactive individual capable of proactively ensuring and maintaining system and security integrity of client systems by engaging and driving efforts forward in an independent manner.
leverage deep technical expertise to build and secure robust systems that protect against evolving threats.
Day-to-day responsibilities includes the development of security solutions, ensuring the hardening of network, Linux-based, and Windows system.
strong problem-solving abilities enabling the ability to diagnose complex security issues and deliver timely, effective solutions.
securing cloud environments such as AWS, Azure, or GCP, as well as containerized platforms like Docker and Kubernetes, and ensuring that all systems meet DISA-STIG security standards work directly with other security team members in ensuring uptime and compliance of the various security tools and processes.
Exceptional analytical and problem-solving skills is required to diagnose complex security issues and deliver robust, timely solutions.
Resource must also have excellent verbal and written communication skills to effectively report security findings, communicate risk, and collaborate with diverse teams and leadership .
Minimum Qualifications Bachelor’s Degree in Computer Science, Engineering, or other Engineering or Technical discipline or equivalent relevant experience.
Master’s Degree preferred.
10+ years of experience in information systems security Candidates must be US citizens with ability to pass a federal government background investigation for access to sensitive information.
No dual citizenship allowed per agency requirements.
Other Job Specific Skills Excellent verbal and written communication skills.
Deep, hands-on experience with Linux operating systems (e.g., RHEL, CentOS, Ubuntu), including system internals, administration, Linux template hardening, and troubleshooting.
Hands-on Microsoft Windows knowledge such as Active Directory Security, System Hardening & Configuration, Windows Security Stack, and Logging and Monitoring (Windows Event Logs, Sysmon, and integration with SIEM systems for threat detection).
Hands-on experience with Infrastructure Hardening and Configuration of on premise and cloud based servers, network devices, and hypervisors.
Includes engineering and maintenance of secure networks through use of firewalls, VLAN segmentation, and ACLs configuration.
Advanced proficiency in scripting languages such as Python and Bash to automate tasks and build security tools.
Experience securing cloud environments (e.g., AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Strong understanding of network security, protocols (TCP/IP), firewalls, encryption, and authentication systems.
Proficiency with industry-standard security frameworks like the PCI-DSS, SOC 2, NIST, ISO etc.
Proficiency with tools for vulnerability scanning (Tenable Nessus), network tools (Cisco FMC, Extrahop,etc) , SIEM (Splunk), EDR (Trellix) and other various toolsets.
#cjpost Deep, hands-on experience with Linux operating systems (e.g., RHEL, CentOS, Ubuntu), including system internals, administration, Linux template hardening, and troubleshooting.
Hands-on Microsoft Windows knowledge such as Active Directory Security, System Hardening & Configuration, Windows Security Stack, and Logging and Monitoring (Windows Event Logs, Sysmon, and integration with SIEM systems for threat detection).
Hands-on experience with Infrastructure Hardening and Configuration of on premise and cloud based servers, network devices, and hypervisors.
Includes engineering and maintenance of secure networks through use of firewalls, VLAN segmentation, and ACLs configuration.
Advanced proficiency in scripting languages such as Python and Bash to automate tasks and build security tools.
Experience securing cloud environments (e.g., AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Strong understanding of network security, protocols (TCP/IP), firewalls, encryption, and authentication systems.
Proficiency with industry-standard security frameworks like the PCI-DSS, SOC 2, NIST, ISO etc.
Proficiency with tools for vulnerability scanning (Tenable Nessus), network tools (Cisco FMC, Extrahop,etc) , SIEM (Splunk), EDR (Trellix) and other various toolsets.
System Security Engineer will be essential in safeguarding the client’s critical systems and infrastructure by spearheading the design, implementation, and management of comprehensive security strategies.
In this role, the Sr.
System Security Engineer will be the hands-on and the sole System Security Engineer which demands a self-motivated and highly proactive individual capable of proactively ensuring and maintaining system and security integrity of client systems by engaging and driving efforts forward in an independent manner.
leverage deep technical expertise to build and secure robust systems that protect against evolving threats.
Day-to-day responsibilities includes the development of security solutions, ensuring the hardening of network, Linux-based, and Windows system.
strong problem-solving abilities enabling the ability to diagnose complex security issues and deliver timely, effective solutions.
securing cloud environments such as AWS, Azure, or GCP, as well as containerized platforms like Docker and Kubernetes, and ensuring that all systems meet DISA-STIG security standards work directly with other security team members in ensuring uptime and compliance of the various security tools and processes.
Exceptional analytical and problem-solving skills is required to diagnose complex security issues and deliver robust, timely solutions.
Resource must also have excellent verbal and written communication skills to effectively report security findings, communicate risk, and collaborate with diverse teams and leadership .
Minimum Qualifications Bachelor’s Degree in Computer Science, Engineering, or other Engineering or Technical discipline or equivalent relevant experience.
Master’s Degree preferred.
10+ years of experience in information systems security Candidates must be US citizens with ability to pass a federal government background investigation for access to sensitive information.
No dual citizenship allowed per agency requirements.
Other Job Specific Skills Excellent verbal and written communication skills.
Deep, hands-on experience with Linux operating systems (e.g., RHEL, CentOS, Ubuntu), including system internals, administration, Linux template hardening, and troubleshooting.
Hands-on Microsoft Windows knowledge such as Active Directory Security, System Hardening & Configuration, Windows Security Stack, and Logging and Monitoring (Windows Event Logs, Sysmon, and integration with SIEM systems for threat detection).
Hands-on experience with Infrastructure Hardening and Configuration of on premise and cloud based servers, network devices, and hypervisors.
Includes engineering and maintenance of secure networks through use of firewalls, VLAN segmentation, and ACLs configuration.
Advanced proficiency in scripting languages such as Python and Bash to automate tasks and build security tools.
Experience securing cloud environments (e.g., AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Strong understanding of network security, protocols (TCP/IP), firewalls, encryption, and authentication systems.
Proficiency with industry-standard security frameworks like the PCI-DSS, SOC 2, NIST, ISO etc.
Proficiency with tools for vulnerability scanning (Tenable Nessus), network tools (Cisco FMC, Extrahop,etc) , SIEM (Splunk), EDR (Trellix) and other various toolsets.
#cjpost Deep, hands-on experience with Linux operating systems (e.g., RHEL, CentOS, Ubuntu), including system internals, administration, Linux template hardening, and troubleshooting.
Hands-on Microsoft Windows knowledge such as Active Directory Security, System Hardening & Configuration, Windows Security Stack, and Logging and Monitoring (Windows Event Logs, Sysmon, and integration with SIEM systems for threat detection).
Hands-on experience with Infrastructure Hardening and Configuration of on premise and cloud based servers, network devices, and hypervisors.
Includes engineering and maintenance of secure networks through use of firewalls, VLAN segmentation, and ACLs configuration.
Advanced proficiency in scripting languages such as Python and Bash to automate tasks and build security tools.
Experience securing cloud environments (e.g., AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Strong understanding of network security, protocols (TCP/IP), firewalls, encryption, and authentication systems.
Proficiency with industry-standard security frameworks like the PCI-DSS, SOC 2, NIST, ISO etc.
Proficiency with tools for vulnerability scanning (Tenable Nessus), network tools (Cisco FMC, Extrahop,etc) , SIEM (Splunk), EDR (Trellix) and other various toolsets.
Not Specified
Sr. Generative AI Developer
Salary not disclosed
Sr.
Generative AI Developer Location: Dallas TX/ Tampa FL/New Jersey
- Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques.
The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP).
This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.
Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Required Skills & Qualifications 8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
Email:
Generative AI Developer Location: Dallas TX/ Tampa FL/New Jersey
- Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques.
The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP).
This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.
Key Responsibilities Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Required Skills & Qualifications 8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.
Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.
Email:
Not Specified
I
Azure Data Engineer
Salary not disclosed
Job Description : We are seeking a hands-on Consultant with strong Azure ETL experience and advanced Power BI development skills.
They are required to have experience modernizing legacy Microsoft BI environments (including SSIS).
This is not an SSIS-only role.
The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations.
This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions.
The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems.
This requires architectural thinking and hands-on technical execution.
Core Responsibilities: Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards.
Design and implement modern ETL/ELT pipelines in Azure Assess and refactor existing SSIS packages as part of broader modernization efforts Architect Lakehouse / Medallion data models Develop optimized dimensional data models (star schema) Integrate data from SQL Server, Oracle, APIs, and security platforms Design and deploy enterprise Power BI dashboards Build paginated reports using Power BI Report Builder Optimize DAX and dataset performance Implement Row-Level Security (RLS) Support CI/CD and DevOps deployment processes Produce technical documentation and data lineage artifacts Engage directly with executive stakeholders Required Technical Skills: (Must-Have) Data Engineering & Architecture: Strong ETL/ELT design and optimization experience Advanced SQL (expert-level required) Python / PySpark Dimensional data modeling (star schema required) REST API integrations Azure Data Stack: • Azure Data Factory • Azure Databricks • Azure Synapse Analytics • Azure Data Lake Storage Microsoft Data Platform: • Experience with SQL Server data warehouse environments • Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions Power BI: Power BI Desktop (expert-level) Advanced DAX Executive dashboard development Paginated reports (Power BI Report Builder) Data Gateway configuration Incremental refresh Row-Level Security (RLS) Nice to Have: Microsoft Purview Terraform (Infrastructure-as-Code) Orchestration tools (Airflow or equivalent) Security systems data integration experience Experience with C# / .NET web application development (for integration with internal systems or APIs) Experience Requirements: 7+ years of hands-on data engineering / analytics delivery Demonstrated experience building production data pipelines in Azure Proven experience delivering executive-facing Power BI solutions Experience working in complex enterprise environments Software Skills: 4–6 years of experience in Azure for building, deploying, and managing cloud-based data and application services.
Technical Skills: 2–4 years of experience in .NET code development for developing and maintaining enterprise applications and data processing components.
6+ years of experience in Data Modeling including designing logical and physical data models for enterprise data warehouses and analytics systems.
6+ years of experience in Python scripting for data processing, automation, ETL development, and data transformation tasks.
6+ years of experience in Structured Query Language (SQL) for writing complex queries, stored procedures, performance tuning, and data manipulation.
They are required to have experience modernizing legacy Microsoft BI environments (including SSIS).
This is not an SSIS-only role.
The consultant will design, modernize, and enhance enterprise data and analytics solutions supporting Cyber Security, Physical Security, Electronic Security and Police operations.
This role includes evolving legacy SQL Server/SSIS-based processes into modern Azure data architectures while designing scalable new ETL/ELT pipelines and delivering executive-level analytics solutions.
The consultant will work directly with stakeholders to deliver production-grade reporting and analytics capabilities across multiple enterprise systems.
This requires architectural thinking and hands-on technical execution.
Core Responsibilities: Candidates must have direct experience building enterprise-grade ETL pipelines and executive Power BI dashboards.
Design and implement modern ETL/ELT pipelines in Azure Assess and refactor existing SSIS packages as part of broader modernization efforts Architect Lakehouse / Medallion data models Develop optimized dimensional data models (star schema) Integrate data from SQL Server, Oracle, APIs, and security platforms Design and deploy enterprise Power BI dashboards Build paginated reports using Power BI Report Builder Optimize DAX and dataset performance Implement Row-Level Security (RLS) Support CI/CD and DevOps deployment processes Produce technical documentation and data lineage artifacts Engage directly with executive stakeholders Required Technical Skills: (Must-Have) Data Engineering & Architecture: Strong ETL/ELT design and optimization experience Advanced SQL (expert-level required) Python / PySpark Dimensional data modeling (star schema required) REST API integrations Azure Data Stack: • Azure Data Factory • Azure Databricks • Azure Synapse Analytics • Azure Data Lake Storage Microsoft Data Platform: • Experience with SQL Server data warehouse environments • Working knowledge of SSIS and experience modernizing or migrating SSIS workflows to Azure-based solutions Power BI: Power BI Desktop (expert-level) Advanced DAX Executive dashboard development Paginated reports (Power BI Report Builder) Data Gateway configuration Incremental refresh Row-Level Security (RLS) Nice to Have: Microsoft Purview Terraform (Infrastructure-as-Code) Orchestration tools (Airflow or equivalent) Security systems data integration experience Experience with C# / .NET web application development (for integration with internal systems or APIs) Experience Requirements: 7+ years of hands-on data engineering / analytics delivery Demonstrated experience building production data pipelines in Azure Proven experience delivering executive-facing Power BI solutions Experience working in complex enterprise environments Software Skills: 4–6 years of experience in Azure for building, deploying, and managing cloud-based data and application services.
Technical Skills: 2–4 years of experience in .NET code development for developing and maintaining enterprise applications and data processing components.
6+ years of experience in Data Modeling including designing logical and physical data models for enterprise data warehouses and analytics systems.
6+ years of experience in Python scripting for data processing, automation, ETL development, and data transformation tasks.
6+ years of experience in Structured Query Language (SQL) for writing complex queries, stored procedures, performance tuning, and data manipulation.
Not Specified
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