Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,229 postings in the last year. Stated ranges, not salaries paid.
Senior Systems Engineer (Data Engineer)
Arlington, VA
Open 3 months, first seen by us 118 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Work authorization
- Citizens only
Active Top Secret/SCI clearance required
What you’ll work on
Full postingCurate raw data feeds into structured, reliable datasets for reporting
Design and deploy interactive dashboards and lightweight web tools
Develop analytical models and business logic to surface trends and risks
Reconcile and standardize force element and organizational identifier data
Gather requirements and validate outputs with stakeholders and mission partners
From the employer’s posting
Curate, organize, and clean raw data feeds into structured, reliable datasets
Design and deploy clean, interactive dashboards and lightweight web-based tools
Develop business logic, analytical models, and statistical approaches
Research, assess, reconcile, and standardize disparate force element data, organizational identifiers
Collaborate with stakeholders, analysts, engineers, and mission partners to gather requirements, validate outputs
What you’ll bring
All qualificationsCore experience
- Master's in Systems Engineering and 3+ years related experience, or Bachelor's in Systems Engineering and 6+ years
- Active Top Secret/SCI clearance
- Significant systems engineering experience (for candidates with another engineering degree)
Qualification wording
Master of Science degree from an accredited college or university in Systems Engineering and at least three (3) years of related experience
Active Top Secret/SCI clearance required.
has significant systems engineering experience
Education & alternatives
To qualify, you will need - Master of Science degree from an accredited college or university in Systems Engineering and at least three (3) years of related experience; or - Bachelor of Science degree in Systems Engineering and at least six (6) years of related experience; or
- Master of Science degree from an accredited college or university in Systems Engineering and at least three (3) years of related experience; or - Bachelor of Science degree in Systems Engineering and at least six (6) years of related experience; or - Degree in another engineering discipline or operations research may be considered if the candidate has completed at least twenty-four (24) semester hours in operations research, mathematics, probability, statistics, mathematical logic, science, or other coursework requiring substantial college-level mathematics or statistics, and has significant systems engineering experience.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 16, 2026118 days ago
- Recorded sightings
- 43
- Last seen by us
- Nov 11, 2026
- Employer says posted
- Jul 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 118
Up longer than most. Similar jobs usually come down between day 6 and day 55.
From 13,018 similar postings that came down. Coming down is not always a hire.
Sdatasystems.com is hiring
1 open job
- No new data jobs since August
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- Streamlit
Where the posting names them
Clearance: Active Top Secret/SCI clearance required. Preferred Experience: Experience using DoD analytics platforms, including Advana, and developing code, applications, dashboards, or data products that improve access to system data and features. Familiarity with GFM DI, OFSC, OUIDs, Component Org Servers, Global Force Management assignment processes, enterprise analytic platforms, Qlik, Streamlit, SQL, data modeling, dashboard development, or similar analytics and visualization tools is highly desirable. Experience supporting Planning, Intelligence, Command and Control, Logistics, Financial, or other DoD mission domains through data analysis, integration, or decision-support tools is preferred. Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
- Analytical Modeling - Develop business logic, analytical models, and statistical approaches that connect datasets and translate raw inputs into actionable trends, risks, and insights. - Rapid Visualization - Design and deploy clean, interactive dashboards and lightweight web-based tools using platforms such as Qlik, Streamlit, or similar visualization technologies. - Collaborate with stakeholders, analysts, engineers, and mission partners to gather requirements, validate outputs, document assumptions, and improve access to system data and features.
Your next step
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Senior Systems Engineer
Location: The Pentagon, Washington, DC
Salary Negotiable (Depending on experience level) - Full Time with Benefits
The Senior Systems Engineer will support data-driven decision-making for complex Department of Defense programs by applying systems engineering discipline, data analysis, and rapid visualization capabilities. This role will use Government-provided enterprise software development and analytics tools, including Advana where applicable, to develop code, applications, dashboards, and analytical products that improve access to Global Force Management Data Initiative (GFM DI) data, organizational data, and system features. The position translates operational needs into clear requirements, reliable data products, analytical models, and user-focused solutions that strengthen decision support and support the full system life cycle.
Responsibilities
- Apply systems engineering principles to analyze mission needs, coordinate technical solutions, develop requirements, and support life-cycle planning for large, complex projects.
- Data Curation - Curate, organize, and clean raw data feeds into structured, reliable datasets that are optimized for querying, reporting, and analysis.
- Establish and maintain trusted data sources that improve consistency, accuracy, and confidence in operational decision-making.
- Analytical Modeling - Develop business logic, analytical models, and statistical approaches that connect datasets and translate raw inputs into actionable trends, risks, and insights.
- Rapid Visualization - Design and deploy clean, interactive dashboards and lightweight web-based tools using platforms such as Qlik, Streamlit, or similar visualization technologies.
- Collaborate with stakeholders, analysts, engineers, and mission partners to gather requirements, validate outputs, document assumptions, and improve access to system data and features.
- Use Government-provided enterprise software development and analytics tools to conduct data analysis and develop code, applications, dashboards, and data products supporting GFM DI use cases.
- Research, assess, reconcile, and standardize disparate force element data, organizational identifiers, and related data structures used across Component systems and mission domains.
- Analyze complex system integration challenges involving the Organization Force Structure Construct, Organization Unique Identifiers, Component Org Servers, enterprise analytic platforms, and related Global Force Management tools.
- Apply analytical, statistical, or mathematical modeling approaches to support design decisions, resolve data integration issues, and generate actionable recommendations for Government stakeholders.
- Support assignment data processes and related tools, including documentation, stakeholder coordination, and training for internal users and broader Communities of Interest.
To qualify, you will need
- Master of Science degree from an accredited college or university in Systems Engineering and at least three (3) years of related experience; or
- Bachelor of Science degree in Systems Engineering and at least six (6) years of related experience; or
- Degree in another engineering discipline or operations research may be considered if the candidate has completed at least twenty-four (24) semester hours in operations research, mathematics, probability, statistics, mathematical logic, science, or other coursework requiring substantial college-level mathematics or statistics, and has significant systems engineering experience.
Clearance: Active Top Secret/SCI clearance required.
Preferred Experience: Experience using DoD analytics platforms, including Advana, and developing code, applications, dashboards, or data products that improve access to system data and features. Familiarity with GFM DI, OFSC, OUIDs, Component Org Servers, Global Force Management assignment processes, enterprise analytic platforms, Qlik, Streamlit, SQL, data modeling, dashboard development, or similar analytics and visualization tools is highly desirable. Experience supporting Planning, Intelligence, Command and Control, Logistics, Financial, or other DoD mission domains through data analysis, integration, or decision-support tools is preferred.
Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Arlington, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.