Data Engineer Analyst Jobs
Data Engineer Analyst jobs are open across fintech, healthtech, retail, and enterprise technology, from entry-level to senior and lead, with specializations in pipeline engineering, data modeling, and analytics infrastructure. Scan the live roles below and apply to whichever ones fit.
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How you will contribute to our National Security and Defense mission:
- You have a passion for aerospace, defense, and space systems and advanced technologies.
- You understand the urgent need to modernize our defense systems and give our troops the best possible tools.
- You enjoy paying attention to detail and providing excellent customer service in a professional environment.
- You are passionate about continuous learning and growth, and you seek opportunities to challenge yourself.
- You are driven to make a meaningful impact through your work.
Responsibilities:
- Provide Modeling and Simulation (M&S) and data analysis for Electro Optical (EO) and Infrared (IR) cutting-edge technologies
- Use data analysis and/or software tools to generate scientific results to support R&D programmatic decisions
- Provide analytical/modeling subject matter expertise advisement to senior engineers, program managers, and senior leaders to help drive sound technological decisions
- Analyze end user requirements and provide recommendations based on scientific results and developmental risks
- Evaluate proposed projects for feasibility and applicability to relevant miliary mission areas
- Participate in strategic planning and development of systems architectures as well as recommend requirements for new projects
- Identify and recommend alternative or new Research and Development (R&D) strategies
- Generate documents, briefings, roadmaps, and planning materials to support the customer mission
- Work closely with program managers, lead project engineers, and program teams
- 8-10 years' experience with M&S and data analysis, MATLAB, and Python
- Experience with EO sensors, IR Search and Track (IRST) systems, Forward Looking Infrared (FLIR), laser optics, image processing, signal processing, and statistics
- Strong EO/IR data analysis and performance modeling computing skills
- Experience processing image/signal data and a working knowledge on data-basing, data storage, and data archiving
- Sufficient EO/IR experience to produce trusted results and communicate recommendations to the customer
- Experience in generating requirements analysis and definitions at the mission and systems engineering levels
- Must work well within a team environment to identify and apply best practices
- Strong skills in documenting inputs, outputs, and requirements
- Experience developing high-level project/work plans
- Familiarity with EO modeling tools such as MODTRAN, LEEDR, and DIRSIG
- Clear and effective oral and written communications skills, ability to develop and present to senior leadership
Education:
- Bachelor's degree in Electrical Engineering, Physics, Applied Mathematics, or related technical field. A Master's degree in a similar field is highly desired.
- 8-10 years’ technology development experience with EO, lasers, and/or IR systems
- Proficient knowledge of software development and/or software maintenance
- Must possess an active DoD Top Secret Clearance with SCI eligibility.
#LI-HP1
TS/SCI
Perks and Benefits
- Vacation:New Hires Accrue 20 days of PTO and 10 Holidays per Year
- Health Insurance:Zero Deductible Health Plans
- Flexible Schedules:Flex Schedules
- Professional Development:Up to $10,000 Annual Education/Training Reimbursement
- ESOP:Funded Stock Ownership Plan
- 401k Match+:6% 401k Match + Immediate Vesting
- Bonus Program:Semi-Annual Bonus Opportunity
- Mentorship:Career Mentorship Programs
Why is MTSI a great place to work
- Interesting Work:Our co-workers support some of the most important and critical programs to our national defense and security.
- Values:Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
- 100% Employee Owned:We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.
- Great Benefits - Most Full-Time Staff Are Eligible for:
- Starting PTO accrual of 20 days PTO/year + 10 holidays/year
- Flexible schedules
- 6% 401k match with immediate vesting up to $9k annually
- Semi-annual bonus eligibility (July and Decemeber)
- Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
- Up to $10,000 in annual educational reimbursement
- Other company funded benefits, like life and disability insurance
- Optional zero deductible Blue Cross/Blue Shield health insurance plan
- Track Record of Success:We have grown every year since our founding in 1993.
Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance
MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.
For more information about MTSI, please visitwww.mtsi-va.com
EEO Statement
MTSI embraces nine core values including our first core value of Employees come first. Consistent with our Core Values, we are committed to Equal Opportunity, making decisions without regard to race, color, religion, sex, national origin, age, military/veteran status, disability, or any other characteristics protected by applicable law. MTSI is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants and employees with physical and/or mental disabilities.
Why is MTSI a great place to work
- Interesting Work: Our co-workers support some of the most important and critical programs to our national defense and security.
- Values: Our first core value is that employees come first. We challenge our co-workers to provide the highest level of support and service, and reward them with some of the best benefits in the industry.
- 100% Employee Owned: We have a stake in each other's success, and the success of our customers. It's also nice to know what's going on across the company; we have company wide town-hall meetings three times a year.
- Great Benefits - Most Full-Time Staff Are Eligible for:
- Starting PTO accrual of 20 days PTO/year + 10 holidays/year
- Flexible schedules
- 6% 401k match with immediate vesting up to $9k annually
- Semi-annual bonus eligibility (July and Decemeber)
- Company funded Employee Stock Ownership Plan (ESOP) - a separate qualified retirement account
- Up to $10,000 in annual educational reimbursement
- Other company funded benefits, like life and disability insurance
- Optional zero deductible Blue Cross/Blue Shield health insurance plan
- Track Record of Success: We have grown every year since our founding in 1993.
Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance
MTSI delivers capabilities to solve problems of global importance. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide.
For more information about MTSI, please visit www.mtsi-va.com
See All 28 Data Engineer Analyst Jobs
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Find Data Engineer Analyst JobsData Engineer Analyst Job Market
Who's Hiring



What Employers Look For
The qualifications that appear most often in data engineer analyst jobs.
- Proficiency in SQL and at least one scripting language such as Python
- Experience building or maintaining ETL and ELT data pipelines
- Hands-on work with a cloud data warehouse like Snowflake, BigQuery, or Redshift
- Familiarity with data modeling concepts including star schema and normalization
- Bachelor's degree in computer science, information systems, or a related field
- Experience with workflow orchestration tools such as Apache Airflow or dbt
Tips for Your Data Engineer Analyst Job Search
Tailor your resume to pipeline specifics
List the orchestration tools you've used, such as Airflow or dbt, alongside the cloud platforms and data warehouse technologies. Generic 'worked with data' phrasing gets screened out fast when hiring managers are looking for exact stack matches.
Highlight data modeling decisions you owned
Employers distinguish data engineer analysts from pure engineers by looking for analytical judgment. Call out times you chose a schema design, defined a metric, or translated a business question into a pipeline requirement, not just the code you wrote.
Apply early to roles that fit
Migrate Mate lists data engineer analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by tech stack before applying
Applying to roles built on a stack you've never touched wastes your time and theirs. Cross-check each job description against your hands-on experience with Spark, Redshift, BigQuery, Snowflake, or whichever tools the team runs before submitting.
Prepare a SQL take-home strategy in advance
Most data engineer analyst interviews include a timed SQL or Python exercise on real-ish datasets. Practice writing window functions, CTEs, and aggregation queries under time pressure so the format itself doesn't cost you on the actual assessment.
Negotiate scope not just compensation
When you receive an offer, ask which team owns the data models you'd work on and whether the role feeds executive reporting or operational systems. That scope difference shapes your growth and visibility more than a small base salary adjustment.
Data Engineer Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data engineer analysts?
The companies hiring the most data engineer analysts right now include Lockheed Martin, Glint Tech Solutions, and MTSI, with the largest share of openings in Florida, Texas, and Ohio, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in financial services, healthcare technology, and enterprise software companies scaling their data platforms.
How many data engineer analyst jobs are remote?
About 40% of data engineer analyst openings are fully remote or hybrid as of November 2026, reflecting the cloud-native nature of most modern data stacks. Pipeline engineering and analytics engineering sub-roles tend to be the most remote-friendly, while roles that require close collaboration with business intelligence or product teams are more likely to request at least partial on-site presence.
How do you become a data engineer analyst?
Start by building solid SQL skills and learning a scripting language like Python, then get hands-on with a cloud data warehouse through personal or open-source projects. Learn a pipeline orchestration tool, practice data modeling, and build a portfolio that shows end-to-end work from raw ingestion to a usable analytical layer. Entry-level roles or data analyst positions that touch pipelines are a common on-ramp.
Can you get a data engineer analyst job with little experience?
Yes, candidates with limited professional experience do get hired when they can demonstrate real pipeline work, even from personal projects or coursework. Build a public portfolio using open datasets, show a complete pipeline from ingestion through transformation to a query layer, and target companies with structured associate or junior programs. Internships and analytics roles that involve any ETL work also count as relevant experience.
What does the data engineer analyst interview process look like?
Most processes start with a recruiter screen focused on your background and tool experience, followed by a technical phone or video round covering SQL and sometimes Python. A take-home or live coding exercise involving data transformation or pipeline logic is common next. Final rounds typically include a system design or architecture discussion and behavioral interviews with the hiring manager and cross-functional stakeholders.
Where can I find and apply to data engineer analyst jobs?
You can find and apply to data engineer analyst jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your stack and experience level, then apply directly to each listing that fits. All the active openings are on this page, so start by scanning what's available right now.
See All 28 Data Engineer Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Engineer Analyst Jobs