Luna Data Solutions Inc Jobs in Usa

Our Ideal Candidate

We are looking for a Senior Data Engineer who is a self-starter and detail-oriented with a strong blend of technical expertise and business acumen. The ideal candidate has a strong foundation in data engineering, experience working with healthcare data, and the ability to build scalable data-driven solutions. You are a proactive problem-solver who takes ownership of your work, continuously seeks to improve data quality and accessibility, and is committed to delivering high-quality data solutions.

Responsibilities

• Lead data modeling efforts to create optimized data structures for reporting and analytical purposes.
• Design, develop, and maintain end-to-end data pipelines that transform raw source data into high-quality, actionable datasets.
• Build the company's data infrastructure and data catalog, from data ingestion through the semantic layer, ensuring a robust, scalable architecture on AWS.
• Collaborate with cross-functional teams (product, technology, operations, etc.) to understand data needs, align them with business goals, and translate them into technical solutions.

Qualifications

• Bachelor's or Master's (preferred) degree in Computer Science, Engineering, or a related quantitative field (Data Science).
• 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, with a strong focus on the development of end-to-end data solutions and products.
• 5+ years of hands-on experience with AWS cloud technologies is required, including designing, building, and maintaining cloud-based data infrastructure and infrastructure as a Code (IaC), such as CDK or Terraform.
• Proficiency in building and managing data infrastructure and ETL pipelines within AWS, leveraging services like AWS Glue, Athena, Redshift, Aurora, RDS, DynamoDB, EMR, Lambda, IAM, S3, EC2, CLI.
• Demonstrated experience in designing and implementing robust data models for analytical purposes.
• Strong proficiency in SQL and experience with various database systems (e.g., MySQL, NoSQL, Snowflake, Vector Databases).
• Strong proficiency in Python for data engineering and analytics, and extensive experience with data pipeline development and orchestration tools (e.g., Airflow, dbt).
• Experience with Power BI or Tableau for data reporting and dashboard development.
• Experience shipping data products to production and understanding software development lifecycle best practices.
• Strong problem-solving skills, the ability to work independently, and good communication and collaboration skills.
• Ability to learn new technologies and adapt to a fast-paced environment.
• Awareness of HIPAA, PHI, and other healthcare-specific regulations related to data and AI.

This role is 3 days onsite. NO REMOTE or Relocation. Must be a US Citizen or Green Card Holder. Please do not apply if you are a EAD or H1-VIsa.

Job Description:

We are looking for a Data Architect to take ownership of designing and evolving a modern enterprise data ecosystem that supports analytics, reporting, and business decision-making. This role will focus on building and maintaining a secure, scalable data warehouse leveraging Microsoft cloud technologies such as Azure, Synapse, and Microsoft Fabric, while ensuring strong data quality, accessibility, and consistency across the organization.

This position will play a key role in establishing data standards, driving best practices in data modeling and governance, and partnering with both technical and business stakeholders. The ideal candidate is comfortable working independently and translating complex data concepts into actionable insights for non-technical audiences.

Key Responsibilities

Data Architecture & Modeling

• Design, implement, and maintain enterprise data warehouse solutions within Azure and Microsoft Fabric
• Develop and manage semantic data models to support reporting through Power BI and Azure Analysis Services
• Establish and document standards for data modeling, naming conventions, and dataset design

Data Governance & Quality

• Define and enforce data governance frameworks, including data definitions, access controls, and data policies
• Implement automated processes to monitor and improve data quality and integrity
• Partner with business users to understand requirements and resolve data inconsistencies

Technical Leadership

• Act as a subject matter expert for data architecture and enterprise data strategy
• Translate business requirements into scalable and efficient data solutions
• Provide guidance to stakeholders on data architecture decisions and trade-offs

Enablement & Collaboration

• Create documentation, data dictionaries, and standards to support self-service analytics
• Work closely with BI developers and business teams to ensure data solutions align with reporting needs

Required Qualifications

• 6+ years of experience in data architecture, data engineering, or BI-related roles
• Strong expertise with Microsoft Azure Data Services, including SQL, Synapse, Data Factory, and Fabric
• Advanced SQL skills with experience in query optimization
• Experience with Python or R for data processing and automation
• Deep understanding of semantic modeling in Power BI or Azure Analysis Services
• Hands-on experience with Power BI (Desktop, Service, DAX, Power Query)
• Experience integrating ERP (Epicor preferred) and CRM data for reporting and analytics
• Strong understanding of end-to-end ERP business processes (Quote-to-Cash, AR, AP, GL)
• Knowledge of enterprise data architecture principles and data lifecycle management
• Proven experience establishing and maintaining data governance and quality standards
• Strong communication skills with the ability to work with non-technical stakeholders

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
• Experience with modern data architecture patterns such as lakehouse, star schema, or medallion architecture
• Background in operational or supply chain environments
• Exposure to planning tools such as Anaplan or similar platforms

Hi ,

This is Vamshi ,from Software Technology We have a job opening with our client for position DBA/DATA Architect If you are available and looking for any new opportunities, please send me your updated resume for below position ASAP.

Job Title: DBA/DATA Architect

Location: Denver, CO (Hybrid 3 days work form office)

Duration: Full Time/Longterm Contract

Must have skills: Architect level good; but should be hands-on with proactive driver mindset (individual contributor; no team management responsibility)

Skills To Be Evaluated On

Azure Data Factory, MS SQL Server DBA, Performance Tuning, Data Pipeline, Data Management

Technical Skills

• Azure Data Factory, Azure Data Lake Storage (ADLS), Azure Databricks, Azure SQL Database.
• Strong SQL, Python, Scala, and PySpark.
• Experience in building data models and schema design.
• Experience with SSIS
• Oracle DB experience would be a Plus

Roles & Responsibilities

• Design, build, and optimize data pipelines and ETL processes using Azure Data Factory and Databricks.
• Manage Azure SQL Database, including performance tuning, indexing, and query optimization.
• Design scalable data solutions, data lakes (ADLS), and data warehousing solutions.
• Ensure data security, quality, and integrity throughout the lifecycle.
• Monitor data pipelines and resolve performance issues or failures.
• Work with data scientists and analysts to support data-driven decision-making.

Thanks,

Vamshi Thangadpalli

Technical Recruiter

Email: | Web: :// Overlook Center, Suite 200

Princeton, NJ 08540.

Job Title: Senior Data Engineer

Location: Chicago, IL (Hybrid)

Department: Data & Analytics

Reports To: Head of Data Engineering / Data Platform Lead

Role Overview

We are seeking a highly skilled Senior Data Engineer with strong Python development expertise and deep experience in Snowflake to design, build, and optimize scalable enterprise data solutions. This role is based in Chicago, IL and will support regulatory and risk data initiatives in a highly governed environment.

The ideal candidate has hands-on experience building modern cloud data platforms and is familiar with risk management frameworks, BCBS 239 principles, and Governance, Risk & Compliance (GRC) requirements within financial services.

Key Responsibilities

Data Engineering & Architecture

Design, develop, and maintain scalable data pipelines using Python.

Build and optimize data models, transformations, and data marts within Snowflake.

Develop robust ELT/ETL frameworks for structured and semi-structured data.

Optimize Snowflake performance, cost efficiency, clustering, and workload management.

Implement automation, monitoring, and CI/CD for data pipelines.

Risk & Regulatory Data Management

Support regulatory reporting aligned with BCBS 239 (risk data aggregation and reporting).

Ensure data traceability, lineage, reconciliation, and auditability.

Implement controls aligned with Governance, Risk & Compliance (GRC) frameworks.

Partner with Risk, Finance, Compliance, and Audit teams to deliver accurate and governed data assets.

Data Governance & Quality

Develop and enforce data quality validation frameworks.

Maintain metadata, lineage documentation, and data catalog integration.

Implement data access controls and security best practices.

Technical Leadership

Provide mentorship and code reviews for data engineering team members.

Promote engineering best practices and documentation standards.

Collaborate cross-functionally with architects, analysts, and business stakeholders.

Required Qualifications

7+ years of experience in Data Engineering or Data Platform development.

Strong Python programming expertise (Pandas, PySpark, Airflow, etc.).

Hands-on experience with Snowflake (data modeling, Snowpipe, Streams & Tasks, performance tuning).

Advanced SQL skills and deep understanding of data warehousing concepts.

Experience supporting BCBS 239 compliance or similar regulatory reporting frameworks.

Experience working within Governance, Risk & Compliance (GRC) structures.

Experience in cloud environments (AWS, Azure, or GCP).

Strong understanding of data lineage, controls, reconciliation, and audit requirements.

Preferred Qualifications

Experience in banking, capital markets, or financial services.

Knowledge of credit risk, market risk, liquidity risk, or regulatory reporting domains.

Experience with data governance tools (Collibra, Alation, etc.).

Familiarity with DevOps practices, Docker, Kubernetes.

Experience building enterprise data platforms in highly regulated environments.

Key Competencies

Strong problem-solving and analytical thinking.

Ability to operate in a regulated, audit-driven environment.

Excellent communication and stakeholder management skills.

Detail-oriented with a focus on data accuracy and integrity.

Leadership mindset with hands-on technical capability.

**Must be able to be onsite in Farmington, CT 2 days a week for collaboration**

The Opportunity: We are seeking a software engineer/developer or ETL/data integration/big data developer with experience in projects emphasizing data processing and storage. This person will be responsible for supporting the data ingestion, transformation, and distribution to end consumers. Candidate will perform requirements analysis, design/develop process flow, unit and integration tests, and create/update process documentation.

· Work with the Business Intelligence team and operational stakeholders to design and implement both the data presentation layer available to the user community, as well as the underlying technical architecture of the data warehousing environment. · Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes. · Design and develop database objects, tables, stored procedures, views, etc. · Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end · Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases · Understands the concept of Data marts and Data lakes and experience with migrating legacy systems to data marts/lake · Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server) · Maintain comprehensive project documentation · Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement. · Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members. · Manage multiple projects, responsibilities and competing priorities.

Requirements Experience Needed: · Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, and VB · Database platforms such as: Oracle, SQL Server, MySQL · Big data concepts and technologies such as Synapse & Databricks · AWS and Azure cloud computing · HVR data replication

We are seeking a Senior .NET Developer role in Austin, TX.

Hybrid role in Austin, TX

Local to Austin, TX is only accepted

We are seeking a highly skilled and experienced Senior Software Developer to plan, design, develop, test, and maintain enterprise applications. This role is responsible for driving solutions from concept through delivery, providing technical contribution, and collaborating closely with both internal teams and external partners. The position requires collaboration with a blended team of full-time and contract developers, adherence to SDLC best practices, and alignment with organizational goals. The ideal candidate brings deep expertise in .NET technologies and relational databases, along with strong leadership and communication skills to work effectively with internal teams and external stakeholders.

Key Responsibilities:

- Provide technical contribution across multiple enterprise application initiatives through design, implementation, and delivery

- Own the full software development life-cycle (SDLC), from requirements gathering to deployment and support

- Building robust, custom business applications from the ground up/scratch

- Collaborate with program area stakeholders to understand business needs and help translate them into technical solutions

- Provide hands-on technical guidance in various technologies such as .NET and relational SQL databases

- Experience building and leading the development of ETL, data-centralization for reporting consumption

- Ensure high standards for code quality, security, and performance through code reviews and best practices

- Drive agile delivery by breaking work into increments, participating in sprint ceremonies, developing code, reviewing code, and working closely with the project team.

- Advance AI-assisted development by using GitHub Copilot to accelerate coding, improve quality, and automate repetitive tasks.

- Build and optimize containerized services by creating Docker-based environments, producing efficient and secure images, and aligning solutions with agency standards.

- Foster a culture of continuous improvement, innovation, and accountability

Soft Skills:

- Excellent communication and interpersonal skills

- Strong, experienced problem-solving and decision-making abilities

- Ability to manage multiple priorities and stakeholders simultaneously

Preferred Qualifications:

- Prior experience with Containerized applications.

Required Skills:

8 years of experience in Enterprise Software Development Life Cycle

8 years of Strong hands-on experience with .NET (C#, ASP.NET, API, .NET Core)

Excellent, effective communication with customer and design ideas with teams, verbally & written

Estimating work with accurate estimate and deliver on-time

Experience with Agile/Scrum and traditional SDLC methodologies

Proficient in ETL and relational databases (SQL Server, Oracle, or MySQL)

Familiarity with DevOps practices, CI/CD pipelines, and version control (e.g., Jenkins, Bit Bucket)

Unit Testing

Preferred Skills

Blazor Server, Blazor WSM

Containerized applications

Luna Data Solutions, Inc. (LDS) provides equal employment opportunities to all employees. All applicants will be considered for employment. LDS prohibits discrimination and harassment of any type regarding age, race, color, religion, sexual orientation, gender identity, sex, national origin, genetics, protected veteran status, and/or disability status.

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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To view our legal statement click here

Data Scientist

Phoenix AZ (Hybrid).

Role Summary

Data Scientist responsible for translating business requirements into actionable insights, independently developing machine learning models, designing end-to-end MLOps pipelines, and ensuring AI governance and compliance for deployed solutions.

Must Have: Python, R , ML/OPS

Key Responsibilities

• Gather and understand business requirements; convert them into analytical solutions aligned with business objectives.
• Develop, validate, and optimize statistical, probabilistic, and traditional ML models independently.
• Design and implement end-to-end MLOps pipelines including CI/CD (GitHub Actions) and cloud deployments using Kubernetes.
• Manage model lifecycle including deployment, monitoring, retraining, and versioning.
• Ensure AI governance, compliance, model documentation, explainability, and audit readiness for existing and new models.
• Collaborate with onshore/offshore teams to ensure clear ownership and timely delivery.
• Provide regular progress updates and present solutions to clients and stakeholders.
• Mentor junior data scientists and promote best practices.

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:

As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

• 
  
• Technical Skills Applications Integration
  
• Cloud Computing and Cloud Computing Architecture
  
• Data Architecture Design and Modelling
  
• Data Integration and Data Quality
  
• AI/Agentic AI driven data operations
  
• Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
  
• Strong relationship management and business development skills.
  
• Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
  
• Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
  
• Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.
  
• Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
  
• Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
  
• Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
  
• Establish data governance policies and practices, including data security, quality, and lifecycle management.
  
• Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
  

• 
  
• A Bachelor’s degree required in STEM
  
• 12+ years professional consulting experience in industry or in technology consulting.
  
• 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
  
• 5+ years’ experience with native cloud products and services such as Azure or GCP.
  
• 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
  
• In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
  
• Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
  
• Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
  
• Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
  
• Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
  
• Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
  
• Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
  
• Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
  
• Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
  
• Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
  
• Experience leading Infrastructure and Security engineers and architects in overall platform build.
  
• Excellent leadership, communication, and project management skills.
  
• Data Security and Database Management
  
• Enterprise Data Management and Metadata Management
  
• Ontology Design and Systems Design
  

• 
  
• Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
  
• Experience working at big 4 or a major utility.
  
• Experience with cloud data platforms like Databricks.
  
• Experience in leading and influencing teams, with a focus on mentorship and professional development.
  
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
  
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
  
• Building and Managing Relationships
  
• Client Trust and Value and Commercial Astuteness
  
• Communicating With Impact and Digital Fluency
  

We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.

FY26NATAID

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• 
  
• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  
• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
  

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

Exceptions Specialist - Data Entry (Political Campaign Support)

Position Type : Contract

Payrate : $22/hr

Work Location

100% On-site in WestLake Village, CA.

Shifts

1. PM : Mon-Fri: 4 pm – 11:45 pm PST
2. AM : Mon-Fr - 8am - 5pm PST
3. Weekends - 8am - 5pm PST.

Position Summary

In this Exceptions role with Campaign Offices, you are the final line of defense for data accuracy. You will review voter signature packets and data entry to spot issues, connect the dots, and decide the correct next step in processing. This is a fast-paced, detail driven role for someone who enjoys solving puzzles, thinking critically, and using deductive reasoning to get to the right answer.

If you like investigating discrepancies, catching what others miss, and making clear decisions based on criteria, you will do well here.

What You Will Do

• Review and compare entered data against original source materials to identify errors, mismatches, and exceptions
• Apply deductive reasoning to determine what happened, why it happened, and what action should be taken next
• Use proprietary software and established criteria to resolve exceptions and keep work moving efficiently
• Investigate patterns and root causes behind recurring issues and document your findings
• Communicate clear feedback and insights that help prevent future exceptions
• Manage physical and digital materials with accuracy, organization, and urgency
• Work independently while collaborating with the team to hit daily goals and maintain quality standards

What We Are Looking For

• Strong deductive reasoning skills and the ability to make accurate decisions using logic and evidence
• High attention to detail and commitment to getting it right the first time
• Ability to stay focused in a fast-paced environment with repetitive work that requires consistency
• Strong organizational skills and material management
• Clear communication skills and a team-first attitude
• Comfort using software tools for data entry, review, and analysis
• Experience in data entry, quality assurance, compliance, or audit-type work is a plus

Contract Details

• 5-month contract assignment paid on an hourly basis
• Full-time schedule with consistent hours (AM or PM Shifts available)
• Work that directly supports a high-impact, time-sensitive campaign operation

What you get:

• Full-time 40 hours per week

• Health benefits with low premiums

• A chance to support meaningful work with a team that moves fast and values accuracy