Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Springfield, VA
Actively hiring, first seen by us todayThis role requires full-time onsite support in Springfield, VA, and an active TS/SCI security clearance
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 11,172 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
QUALIFICATIONS: Active TS/SCI CI Poly clearance - Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related field plus 5–8 years of relevant experience; or a related master’s degree plus at least 3 years of relevant experience - Demonstrated ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD practices - Strong experience with ETL/ELT architecture, data modeling, data quality, and secure API integrations, including troubleshooting authentication and data exchange issues
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
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.
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.
TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States.
“TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws.”
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Springfield, VA
Working pattern and location restrictions need checking in the full posting.
TDI is seeking Data Engineers to support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts, customers, and end users' access, discover, stage, link, produce, re-integrate, and deliver intelligence. You will guide technical decisions, work across mission and engineering teams, and improve cloud-based data platforms. Multiple positions are available. This role requires full-time onsite support in Springfield, VA, and an active TS/SCI security clearance. RESPONSIBILITIES: - Lead the architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes for analytics, reporting, and mission operations
- Experience in GIS-related applications TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States. “TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws.”