Enterprise Data Engineer at GRVTY
Chantilly, VA
$150,000–$200,000
Jul 10, 2026
Chantilly, VA
Jul 21, 2026
What this job asks for AI summary
A data engineering role embedded within intelligence analyst teams, focused on building and maintaining ETL pipelines that collect, process, and deliver data to analytic tools in support of national security missions. Day-to-day work involves writing Python and SQL scripts, integrating data from APIs, databases, and flat files, and ensuring data quality through validation and transformation workflows. An active TS/SCI with Polygraph clearance is required.
Mid level · 3+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · TS/SCI clearance · Full-time
Pay in the description: $150,000–$200,000
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $166,452 (middle half $130,866–$200,954). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role title is 'Enterprise Data Engineer' with no seniority level in the title, so advertised seniority is Unspecified. The 3+ years requirement and scope of work (scripting, ETL, data quality) support a Mid-level classification.
TS/SCI with Polygraph is an explicit hard gate — candidates without an active poly-applicable clearance cannot be considered.
Palantir is mentioned prominently in the role description as a tool candidates should be able to support, but it appears only under 'Nice to Have' as 'hands-on experience with Palantir', so it is marked preferred. The JD also references 'Palantir or other ETL platforms' in the narrative, reinforcing that it is not a strict gate.
A Bachelor's degree is listed under 'Nice to Have', so the degree requirement is set to None.
Cloud platforms (AWS, Azure, GCP) and big data technologies (Apache Spark, Hadoop) are listed together under 'Nice to Have'; AWS is used as the primary with Azure and GCP as alternatives, and Spark is primary with Hadoop as an alternative.
SOC classification is Medium confidence: the role is primarily ETL/data pipeline engineering (15-1243 Database Architects), but the emphasis on Python scripting and software development tasks makes 15-1252 Software Developers a plausible alternative.
Requires a TS/SCI clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Read the full posting
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