Engineering Jobs in Everett Middlesex County Ma Online
342 positions found — Page 22
Senior Domain Expert Lead- STEM (Contract), AGI - Data Services
🏢 Amazon
Salary not disclosed
**This is an experimental role to support a business pilot and can potentially span up to 12 months**
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.
Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
contract
S
Senior Product Manager
Salary not disclosed
About the Company
Lumia is a well-funded startup building the next evolution in wearable health technology. We operate at the intersection of hardware, software, machine learning, and medical science - translating complex physiological signals into clear, actionable insights that help people better understand and manage their bodies. Our first mission was focused on improving the lives of individuals with dysautonomia and blood flow disorders, including POTS, ME/CFS, Orthostatic Hypotension, and Long COVID. These are all deeply underserved communities actively searching for better tools. As we scale, we are transforming into a general wellness wearables company - expanding reach and scope to new markets. Our founding team includes repeat entrepreneurs and ex-Bose engineers (our CEO’s last company was acquired by Bose, leading to the global launch of Bose Sleepbuds). We value rigor, ownership, velocity, and kindness. We are collaborative, high-performing, and serious about the work. The majority of the team is currently co-located in Boston, MA, with some remote roles. Opportunity for a remote role is dependent on the candidate and hiring manager approval.
About the Role
We are hiring our first Product Manager to own and scale the software experience that connects our wearable hardware to our members’ daily lives. This is not a feature-factory role. You will combine strategic thinking with hands-on execution to build engaging, habit-forming digital health experiences grounded in biometrics and real physiological data. You will work directly with the CEO, engineering, data science, and design to define roadmap, improve product operations, and translate complex sensor data into simple, meaningful insights. You will help establish the product function - including prioritization frameworks, release discipline, experimentation and user interview rigor, and product analytics foundations, all while shipping high-quality mobile and web features at a steady cadence.
Responsibilities
- Own the Software Roadmap and Development Lifecycle
- Partner with the CEO to shape and continuously refine the software roadmap, balancing near-term member value with long-term vision.
- Lead end-to-end product development: problem framing → wireframes → specs → sprint execution → QA → release.
- Write clear, well-scoped product tickets that reduce ambiguity and accelerate engineering velocity.
- Triage issues beyond surface-level symptoms by investigating root causes, proposing hypotheses, and suggesting solutions.
- Wearing and using the wearable daily to form first-person opinions on product priorities is part of the job.
- Manage release operations (Dev → Staging → Production), feature flags, and UAT.
- Define hypothesis-driven success criteria for each release, and evaluate features and usage.
- Lead the product marketing and GTM lifecycle of releases, partnering closely with Marketing.
- Build and refine light, scalable product operations processes to maintain clarity and alignment.
- Establish product strategy rhythms (quarterly planning, roadmap reviews, prioritization frameworks).
- Stay ahead of the competitive landscape in digital health, wearables, and remote diagnostics to inform future product strategy.
- Champion the User Experience
- Translate Lumia’s wearable capabilities into a cohesive, differentiated mobile experience.
- Deeply engage with members and patient communities to validate feature definitions and uncover unmet needs.
- Apply behavioral science principles to design habit-forming features, thoughtful in-app copy, and personalized experiences.
- Partner closely with Algorithm and Data Science teams to translate time-series biometric data and ML outputs into understandable, trustworthy insights.
- Define and track core KPIs (daily active wearers, retention, engagement, satisfaction).
- Instrument features and build dashboards, be able to define product analytics and maintain them.
- Partner closely with Support and Research to understand needs and build for success.
Qualifications
- 5 - 7 years of software product management experience.
- Strong mobile app product experience (iOS, Android, or cross-platform).
- Meaningful experience in wearables, biometrics, digital health, or health-tech strongly preferred.
- Experience building products that integrate with hardware or sensor-driven data.
- Demonstrated success shipping engaging, data-driven consumer products.
Required Skills
- Comfortable working with data and analytics as a product and collaborating with ML / algorithm teams.
- Familiar with core data science concepts (training/test sets, statistical significance, correlation, etc.).
Preferred Skills
- Thrive in ambiguity and bring structure to chaos.
- Operate with high ownership and accountability.
- Care deeply about clarity, prioritization, and execution quality.
- Motivated by impact and craftsmanship over titles.
Benefits Packages
- Equity upside
- Retirement plan (401k)
- Health, dental, and vision insurance reimbursement
- Commuter benefits
- Pastry Fridays
Interview Process
- Introductory Conversation (30 minutes)
- A conversation with the CEO to discuss your background, what excites you about Lumia, and high-level expectations for the role.
- Product Deep Dive (60 minutes)
- A slide-based presentation to stakeholders focused on a specific effort where:
- You detail what you’ve shipped (strategy, tradeoffs, metrics, what you’d do differently)
- How you approached an ambiguous problem space
- How you prioritized and made decisions under constraints
- Case Exercise (live: 60 min prep, 60 min together)
- You’ll be given some loose thoughts on an opportunity or idea and asked to bring initial structure, thinking, and proposal to the table for discussion with the team. We will email the scenario about 1 hour
Not Specified
G
Cloud Developer
Salary not disclosed
Job Title: Cloud Developer
Location: Boston, MA
Job Type: Full-Time
Job Description
We are seeking an AWS-focused engineer to build and operate a cloud analytics and dashboard layer for device and fleet data. Data lands in S3 and is queried primarily through Amazon Athena. You will own the end-to-end delivery of reliable datasets, SQL queries, and visualization dashboards used by engineering and operations teams. This role requires strong execution in a fast-paced, ambiguous environment, with a high bar for quality, operational excellence, and written communication.
Responsibilities
- Own dashboard and analytics deliverables end-to-end (design → build → test → release → operate).
- Build and maintain Amazon Athena SQL queries, views, and datasets that support filtering, drill-down analysis, and repeatable reporting.
- Develop and enhance dashboards using QuickSight and/or CloudWatch dashboards (or equivalent AWS-native visualization tooling).
- Define metrics/KPIs with stakeholders and translate requirements into clear, actionable visualizations.
- Improve cost and performance of analytics workflows (partition strategies, query optimization, efficient formats, and operational guardrails).
- Drive data quality and correctness: detect schema changes, missing partitions, late data, and regressions; write RCAs and implement durable fixes.
- Implement mechanisms that scale (dashboards as mechanisms, SLIs/SLOs where applicable, alarms, runbooks, and automated checks).
- Collaborate cross-functionally with teams responsible for ingestion/ETL; contribute to ETL as a plus (Lambda, Step Functions, scheduling).
Essential Skills
- 4+ years of relevant experience delivering dashboards and analytics solutions in AWS.
- Strong SQL proficiency with experience building maintainable, production-grade query logic.
- Hands-on experience with Amazon Athena and S3-based analytics workflows.
- Experience with QuickSight and/or CloudWatch dashboards (or comparable visualization tools integrated with AWS).
- Proficiency in TypeScript (expected usage mix approximately 60% TypeScript / 40% other technologies).
- Strong SDLC discipline: Git, code reviews, automated testing, and CI/CD.
- Strong troubleshooting and root-cause analysis skills; ability to drive issues to closure.
- Strong written communication (design notes, operational runbooks, incident summaries).
- Experience with AWS CDK (TypeScript) and Infrastructure as Code practices.
Additional Skills & Qualifications
- Experience building or supporting ETL pipelines using AWS Lambda, Step Functions, Glue, and/or EventBridge.
- Familiarity with IoT/telemetry data flows (device-to-cloud) and schema evolution patterns.
- Experience with observability (logs/metrics/alerts), operational excellence practices, and on-call readiness.
Work Environment
This role operates in a dynamic environment focusing on AWS technologies, including Amazon Athena, S3, QuickSight, CloudWatch, and AWS CDK. The position requires a high level of collaboration across teams, with a strong emphasis on quality and operational excellence. You will engage in cross-functional projects and contribute to the end-to-end analytics solutions within a fast-paced setting.
Not Specified
F
Building Engineer
Salary not disclosed
Job description:
Flagship Facility Services is seeking an experienced Building Engineer to support building operations and maintenance at a Life Science site based in Lexington, MA. This role is ideal for a skilled facilities professional with strong technical expertise who thrives in a fast-paced, mission-critical environment. Candidate MUST hold active waste water license and boiler operator licenses.
What We Offer
- Competitive pay
- Medical, Dental, and Vision Insurance
- Paid Time Off (PTO)
- 401(k) Retirement Plan
- Opportunities for growth and advancement within Flagship Facility Services
What You’ll Do
- Perform advanced maintenance, troubleshooting, and repair of building systems including HVAC, electrical, plumbing, and mechanical systems
- Operate, maintain, and monitor critical facility equipment to ensure reliable and safe operations
- Respond to and resolve work orders, service requests, and emergency situations in a timely manner
- Perform preventive and predictive maintenance to maximize equipment uptime
- Coordinate with vendors and contractors for specialized repairs and services
- Maintain accurate documentation, logs, and reports related to facility operations
- Support compliance with safety standards, company policies, and regulatory requirements
- Provide guidance and support to junior technicians as needed
What We’re Looking For
- 5+ years of experience in facilities maintenance or engineering (life sciences environments preferred)
- active waste water license and boiler operator licenses.
- Strong working knowledge of HVAC, electrical, plumbing, and mechanical systems
- Ability to read and interpret blueprints, schematics, and technical documentation
- Excellent troubleshooting and problem-solving skills
- Strong communication skills and customer-service mindset
- Ability to work independently and as part of a team
- EPA Universal Certification or other relevant certifications preferred
Schedule
- Full-time position
- Schedule may include on-call or off-hours support as required
About Flagship Facility Services
Flagship Facility Services is a leading integrated facilities management company, providing world-class support services to a wide range of industries. We pride ourselves on innovation, operational excellence, and investing in our people.
Not Specified
K
Postdoctoral Bioinformatics Fellow
Salary not disclosed
Postdoctoral Bioinformatics Fellow
Cancer Genomics
Seeking a Postdoctoral Bioinformatics Fellow (Computational Cancer Genomics) for a prestigious academic institution located in Boston, MA.
Salary: $70,000-75,000/year
Employment Type: Full Time; Direct Hire
Job responsibilities include:
- Conduct large-scale data analysis to decode the genomic principles underlying tumor development and identify actionable lesions for precision medicine.
- Design, develop, and implement advanced computational algorithms to identify both coding and noncoding drivers within complex cancer genomes.
- Utilize and enhance computational platforms to design driver-directed combination therapies and innovative cancer treatments.
- Collaborate on clinical studies to integrate genomic findings into patient care, specifically focusing on improving early-stage diagnoses and PET/CT imaging interpretation.
- Stay at the forefront of sequencing technologies to maximize their clinical utility in genome-inspired diagnostics.
Qualifications:
- PhD in computational biology, biostatistics, genetics or a related scientific field.
- Strong programming experience preferably in Python, R, Java, C++ or Matlab.
- Strong publication record and scientific writing skills.
- Demonstrated skills in analysis of genomics data including Somatic mutation data, cancer genomics, and/or cancer biology.
Not Specified
S
Entry level java full stack developer/Remote-Junior data analyst
Salary not disclosed
Applied Everywhere? Still No Interviews or Offers? Let's Fix the Missing Link.” If you've sent out hundreds—maybe thousands—of applications and your inbox is still silent, it doesn't mean you're not capable.
It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now.
In today's market, employers expect more than a degree or a few tutorial projects.
They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use.
That's exactly what SynergisticIT's JOPP is built to solve—because the real challenge isn't learning in isolation.
The real challenge is translating learning into interviews and offers.
Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset.
The purpose of SynergisticIT's JOPP is simple: close the gap between what you know and what employers expect you to prove.
That gap is where most bootcamps leave you stranded.
Here's the truth most bootcamps won't say out loud: training alone doesn't win offers.
Many programs teach "just enough to build a demo,” but employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.
That's why SynergisticIT positions JOPP as a Job Placement Program, not just a bootcamp.
The program emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
What roles are in demand right now? A lot of jobseekers assume they must become "AI experts” overnight.
Not true.
Many companies are actively hiring professionals in core roles that run modern software teams.
In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer.
In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.
Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.
SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).
If you're reading this and thinking, "I've already done a bootcamp,” you're not alone.
SynergisticIT often sees candidates join after trying other bootcamps, Udemy/Coursera tracks, or university bootcamps—then realizing the missing piece was job-placement execution.
Many programs focus on teaching; SynergisticIT focuses on getting you hired.
If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): You don't need more random applications.
You need a job-ready plan.
Start smarter—start with the right support.
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
Remote working/work at home options are available for this role.
It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now.
In today's market, employers expect more than a degree or a few tutorial projects.
They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use.
That's exactly what SynergisticIT's JOPP is built to solve—because the real challenge isn't learning in isolation.
The real challenge is translating learning into interviews and offers.
Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands—think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more—often in the $95k to $154k offer range depending on role, location, and skillset.
The purpose of SynergisticIT's JOPP is simple: close the gap between what you know and what employers expect you to prove.
That gap is where most bootcamps leave you stranded.
Here's the truth most bootcamps won't say out loud: training alone doesn't win offers.
Many programs teach "just enough to build a demo,” but employers hire based on whether you can handle real work—clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did.
That's why SynergisticIT positions JOPP as a Job Placement Program, not just a bootcamp.
The program emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
What roles are in demand right now? A lot of jobseekers assume they must become "AI experts” overnight.
Not true.
Many companies are actively hiring professionals in core roles that run modern software teams.
In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer.
In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request.
Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired” bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway.
SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes).
If you're reading this and thinking, "I've already done a bootcamp,” you're not alone.
SynergisticIT often sees candidates join after trying other bootcamps, Udemy/Coursera tracks, or university bootcamps—then realizing the missing piece was job-placement execution.
Many programs focus on teaching; SynergisticIT focuses on getting you hired.
If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): You don't need more random applications.
You need a job-ready plan.
Start smarter—start with the right support.
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
Remote working/work at home options are available for this role.
permanent
S
Junior Java Spring devops developer/Entry level data engineer remote
🏢 Synergistic it
Salary not disclosed
Career Gap? Outdated Tech stack? Rebuild Momentum and Get Back Into the Market.
If you've been unemployed for 3–6+ months—or longer—you've probably seen how quickly the market can change.
A career gap or an outdated tech stack can reduce callbacks, even when you have talent.
Recruiters may assume your skills are outdated or your confidence is lower.
But gaps don't define ability.
They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure.
SynergisticIT's JOPP is designed for exactly this scenario.
Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client, and more—often with offers between $90,000 and $154,000 depending on role and expertise.
JOPP is built to close the gap between "I used to work in tech” or "I learned tech” and "I'm ready to be hired today.” Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness.
JOPP helps you rebuild that proof and confidence systematically.
Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer.
The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI.
Why programs don't fix gaps Many candidates with gaps try "one more course,” but that rarely changes outcomes.
SynergisticIT often sees candidates arrive after trying multiple bootcamps or online learning platforms and still not securing roles.
A commonly cited pattern is that around 30% of JOPP candidates have already done other bootcamps, university bootcamps, or Udemy/Coursera tracks and didn't get hired—because those options focused on learning without the placement and interview execution.
Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers).
Want to see credibility and event participation? If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us: 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 A gap isn't the end of your career.
It's a chapter—and you can write the next one strategically
Remote working/work at home options are available for this role.
If you've been unemployed for 3–6+ months—or longer—you've probably seen how quickly the market can change.
A career gap or an outdated tech stack can reduce callbacks, even when you have talent.
Recruiters may assume your skills are outdated or your confidence is lower.
But gaps don't define ability.
They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure.
SynergisticIT's JOPP is designed for exactly this scenario.
Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client, and more—often with offers between $90,000 and $154,000 depending on role and expertise.
JOPP is built to close the gap between "I used to work in tech” or "I learned tech” and "I'm ready to be hired today.” Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness.
JOPP helps you rebuild that proof and confidence systematically.
Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer.
The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI.
Why programs don't fix gaps Many candidates with gaps try "one more course,” but that rarely changes outcomes.
SynergisticIT often sees candidates arrive after trying multiple bootcamps or online learning platforms and still not securing roles.
A commonly cited pattern is that around 30% of JOPP candidates have already done other bootcamps, university bootcamps, or Udemy/Coursera tracks and didn't get hired—because those options focused on learning without the placement and interview execution.
Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers).
Want to see credibility and event participation? If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us: 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 A gap isn't the end of your career.
It's a chapter—and you can write the next one strategically
Remote working/work at home options are available for this role.
Not Specified
S
Entry Level Java Spring developer/Junior data scientist remote
🏢 Synergistic it
Salary not disclosed
From 'I Know basics” to 'I'm Ready for Interviews': Level Up Without Starting Over.” Not every jobseeker is a beginner.
Many candidates already have foundational skills—maybe you've built projects, completed certifications, or worked in a tech-adjacent role.
But when you apply to stronger companies or higher-paying roles, the bar shifts: you're expected to understand reliability, scalability, system design, cloud workflows, and real business tradeoffs.
That's where many "training-only” paths fail—you learn tools, but you don't learn how to perform like a production engineer.
SynergisticIT has helped candidates since 2010 bridge that gap and land full-time roles with offers often ranging from $90,000 to $154,000, depending on role and level.
JOPP candidates have received offers from employers such as Apple, Google, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Client, Walmart Labs, AutoZone, Client, and more.
The program emphasis is not "watch videos and hope”—it's structured preparation aligned to what hiring managers actually test.
SynergisticIT supports roles such as entry-level programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.
The program focus areas are Java / Full Stack / DevOps and Data Engineering / Analytics / Data Science / BI + Machine Learning / AI.
For candidates aiming to level up, the value is that you build depth across multiple layers: backend + databases + cloud + CI/CD + projects + interview readiness.
about 30% of candidates who join JOPP have already tried other bootcamps or online learning (Udemy, Coursera, university bootcamps) but did not get hired—because those paths often deliver training without delivering job conversion.
Skills matter, but how you package and demonstrate them matters just as much.
If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're ready to stop being "almost qualified” and start being the candidate employers trust, fill out the contact form and ask which JOPP path matches your salary and role goals.
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
Remote working/work at home options are available for this role.
Many candidates already have foundational skills—maybe you've built projects, completed certifications, or worked in a tech-adjacent role.
But when you apply to stronger companies or higher-paying roles, the bar shifts: you're expected to understand reliability, scalability, system design, cloud workflows, and real business tradeoffs.
That's where many "training-only” paths fail—you learn tools, but you don't learn how to perform like a production engineer.
SynergisticIT has helped candidates since 2010 bridge that gap and land full-time roles with offers often ranging from $90,000 to $154,000, depending on role and level.
JOPP candidates have received offers from employers such as Apple, Google, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Client, Walmart Labs, AutoZone, Client, and more.
The program emphasis is not "watch videos and hope”—it's structured preparation aligned to what hiring managers actually test.
SynergisticIT supports roles such as entry-level programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.
The program focus areas are Java / Full Stack / DevOps and Data Engineering / Analytics / Data Science / BI + Machine Learning / AI.
For candidates aiming to level up, the value is that you build depth across multiple layers: backend + databases + cloud + CI/CD + projects + interview readiness.
about 30% of candidates who join JOPP have already tried other bootcamps or online learning (Udemy, Coursera, university bootcamps) but did not get hired—because those paths often deliver training without delivering job conversion.
Skills matter, but how you package and demonstrate them matters just as much.
If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're ready to stop being "almost qualified” and start being the candidate employers trust, fill out the contact form and ask which JOPP path matches your salary and role goals.
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
Remote working/work at home options are available for this role.
Not Specified
S
Junior data scientist/Java Backend developer remote
🏢 Synergistic it
Salary not disclosed
"Stop Failing Interviews—Start Acing Them” For jobseekers who get interviews but don't convert them into offers If you're getting interviews but not offers, you're closer than you think—yet that final gap can feel brutal.
Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.
The result is painful: "almost hired” over and over again, while the confidence drops.
The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply.
They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.
That's exactly where SynergisticIT's Job Placement Program (JOPP) is positioned differently.
Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers, and the point of JOPP is not simply training—it's to align your skills with what interview panels actually evaluate.
around 30% of JOPP candidates previously tried other bootcamps or platforms like Udemy/Coursera without job success—often because those programs focus on learning checklists, not hiring performance.
The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring.
Interviews rarely test "can you write code at home.” They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? That's why a job-focused program must include more than training.
SynergisticIT's JOPP emphasizes end-to-end preparation for roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers.
The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.
If your pattern is "I reach interviews but don't clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity.
You don't need to be perfect—you need to show you can think, collaborate, and deliver.
That's why guided mock interviews and structured interview coaching can be a game-changer.
Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads” (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical.
If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder—it's about preparing smarter, practicing correctly, and having the right guidance.
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
Remote working/work at home options are available for this role.
Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.
The result is painful: "almost hired” over and over again, while the confidence drops.
The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply.
They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.
That's exactly where SynergisticIT's Job Placement Program (JOPP) is positioned differently.
Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers, and the point of JOPP is not simply training—it's to align your skills with what interview panels actually evaluate.
around 30% of JOPP candidates previously tried other bootcamps or platforms like Udemy/Coursera without job success—often because those programs focus on learning checklists, not hiring performance.
The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring.
Interviews rarely test "can you write code at home.” They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? That's why a job-focused program must include more than training.
SynergisticIT's JOPP emphasizes end-to-end preparation for roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers.
The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.
If your pattern is "I reach interviews but don't clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity.
You don't need to be perfect—you need to show you can think, collaborate, and deliver.
That's why guided mock interviews and structured interview coaching can be a game-changer.
Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads” (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical.
If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder—it's about preparing smarter, practicing correctly, and having the right guidance.
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
Remote working/work at home options are available for this role.
Not Specified
J
Piping Designer- Hybrid work schedule!
🏢 Jobot
Salary not disclosed
This Jobot Job is hosted by: Brandon DeDeker Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $90,000
- $135,000 per year A bit about us: We are a Engineering Consultant company providing full-service engineering, procurement, and construction management (EPCm) services to industrial process manufacturers operating in pulp & paper, chemical, CPG, F&B, power, and heavy industrial markets across the nation.
We are in a significant growth mode, and it's an exciting time to be joining our business based in the Appleton WI area.
Why join us? This role can sit hybrid Extremely great benefits package Work life balance with Modified work weeks as needs Employee assistance program Continued professional development and recognition Job Details This role is ideal for someone who enjoys owning piping layouts from concept through execution, collaborating closely with project teams, and leading designers while working in a modern 3D design environment.
What you’d be doing: Developing detailed 3D piping designs and layouts compliant with codes and client standards Creating equipment layouts, isometrics and BOMs Maintaining and coordinating the overall 3D piping model Leading and coordinating other designers to track deliverables Reviewing P&IDs, completing field walkdowns, and participating in client meetings What they’re looking for: 5+ years of piping design or engineering experience Strong AutoCAD Plant 3D proficiency Experience with P&IDs, isometrics, and field measurements Ability to lead small teams and collaborate cross-functionally Associate’s degree in Drafting or Design (or equivalent hands-on experience) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Remote working/work at home options are available for this role.
Salary: $90,000
- $135,000 per year A bit about us: We are a Engineering Consultant company providing full-service engineering, procurement, and construction management (EPCm) services to industrial process manufacturers operating in pulp & paper, chemical, CPG, F&B, power, and heavy industrial markets across the nation.
We are in a significant growth mode, and it's an exciting time to be joining our business based in the Appleton WI area.
Why join us? This role can sit hybrid Extremely great benefits package Work life balance with Modified work weeks as needs Employee assistance program Continued professional development and recognition Job Details This role is ideal for someone who enjoys owning piping layouts from concept through execution, collaborating closely with project teams, and leading designers while working in a modern 3D design environment.
What you’d be doing: Developing detailed 3D piping designs and layouts compliant with codes and client standards Creating equipment layouts, isometrics and BOMs Maintaining and coordinating the overall 3D piping model Leading and coordinating other designers to track deliverables Reviewing P&IDs, completing field walkdowns, and participating in client meetings What they’re looking for: 5+ years of piping design or engineering experience Strong AutoCAD Plant 3D proficiency Experience with P&IDs, isometrics, and field measurements Ability to lead small teams and collaborate cross-functionally Associate’s degree in Drafting or Design (or equivalent hands-on experience) Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Remote working/work at home options are available for this role.
Not Specified
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