Arlington, VA

Salary
—
Posted
Aug 17, 2026
Location
Arlington, VA
Last confirmed open
Sep 25, 2026

What this job asks for AI summary

A data engineering role supporting a DoD CDAO program onsite in Washington DC, focused on building and deploying scalable data pipelines, ML models, and analytical services within secure, containerized environments. The position spans the full data-to-insight lifecycle — ingestion, feature engineering, model training and deployment, and exploratory analysis — in support of Combatant Command mission needs. Candidates must hold an active Secret clearance and be able to obtain TS/SCI.

Mid level · 3+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Secret clearance · Full-time

Quick apply — this platform usually takes a CV and a few fields.

Must have (8)
PythonSQLSparkDatabricksscikit-learnTensorFlowXGBoostPalantir Foundry
Nice to have (7)
DockerTerraformSageMakerMLflowMLOpsAWS or AzureCI/CD

“or” means any one of them counts — you don't need all of them.

Posted 2 times — it's one opening, so apply once.

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

What won't set you apart
Python88%SQL72%scikit-learn58%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $135,107 (middle half $108,024–$176,763).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.

Why we read it this way (6)

The role is a genuine hybrid of data engineering, applied data science, and production ML — it could reasonably be classified as a Data Scientist (15-2051) or a Database/Data Architect (15-1243). Data pipeline and feature-engineering design is framed as the primary responsibility, which tips the classification toward 15-1243, but the ML modeling and EDA duties are substantial.

Clearance: the posting hard-gates on an active Secret clearance and states the candidate must be able to obtain TS/SCI. The Secret gate is captured; TS/SCI is an aspiration/condition of continued employment rather than a day-one hard gate.

Palantir Foundry (including MSS Workshop and Slate) appears in the Required Qualifications section as an experience requirement, so it is treated as a hard gate. The preferred section adds 4+ years of Palantir Foundry development as a depth signal.

The minimum experience floor is 3 years (Bachelor's + 3 years path), making this a Mid-level role by requirements despite the breadth of responsibilities. The 11-year no-degree path is an alternative credentialing route, not a separate seniority signal.

No compensation figures are provided in the posting.

Requires a Secret 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.

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