MacDill AFB, FL

Salary
$86,000–$138,000from the description
Posted
Jul 21, 2026
Location
MacDill AFB, FL
Last confirmed open
Jul 23, 2026

What this job asks for AI summary

A senior-level data engineering role supporting military information operations and psychological operations programs. The work centers on designing and maintaining enterprise data architectures that bring together intelligence from multiple sources, building pipelines for transformation and machine learning, and delivering real-time analytical dashboards for decision-makers across multiple Combatant Commands. An active TS/SCI clearance is required.

Senior level · 8+ years · TS/SCI clearance

Must have (10)
SQLPythonRAPI integrationNLPdata pipelinesOSINTSIGINTHUMINTsocial media analytics
Nice to have (2)
machine learningreal-time dashboards

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 gives you an edge
NLP5%R6%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
SQL90%data pipelines62%Python55%

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

What the occupation pays Median $142,568 (middle half $111,775–$173,013). 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)

No work location is specified in the posting; the role supports global operations across multiple Combatant Commands and is almost certainly on-site at a cleared facility — remote is marked false.

The degree requirement is tiered: 8 years with a BS/BA, 6 years with an MS/MA, or 3 years with a PhD. Because experience can substitute for a higher degree (and vice versa), no single minimum degree is hard-gated; degree requirement is set to None and the overall years minimum reflects the most permissive path (8 years with a bachelor's).

This role straddles data/pipeline engineering (15-1243) and data science/ML (15-2051); the primary emphasis on architecture, pipeline engineering, database administration, and unified data environments tips it toward 15-1243, with 15-2051 as a close runner-up given the NLP, statistical modeling, and ML workflow responsibilities.

Machine learning and real-time dashboards appear in the responsibilities narrative rather than the explicit qualifications list, so they are marked preferred.

The posting notes this position is contingent on contract award.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): cloud architecture.

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.

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