Python Data Engineer
Black Cape · Tampa, FL
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Jun 28, 2026
Tampa, FL
Jul 21, 2026
What this job asks for AI summary
An onsite Python and data engineering role supporting Special Operations Command (SOCOM) mission teams in a classified facility. Day-to-day work centers on Python development, relational database management, and data pipeline work alongside agile software teams. Suited to early-career engineers with an active TS/SCI clearance and hands-on Python and SQL experience who want close proximity to operational mission users.
Junior level · Tampa-St. Petersburg-Clearwater, FL · Bachelor's required · TS/SCI clearance · Full-time
“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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $133,290 (middle half $97,710–$170,290).
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 (9)
The role is titled 'Python Data Engineer (Entry - Mid Level)' and spans 0–5 years of experience; seniority is assessed as Junior given the explicit entry-level framing and the 0-year floor.
SOC classification is Medium confidence: the role blends data engineering (pipeline/ETL work, relational and NoSQL databases) with general Python software development. 15-1243 (Database Architects) was chosen for the data engineering emphasis, but 15-1252 (Software Developers) is a strong runner-up given the full-stack and Python development context.
TS/SCI clearance is an explicit hard gate; the posting states 'no poly required.'
A Bachelor's degree is listed as a hard requirement under 'Required Technical Skills (MUST HAVES).'
ETL techniques appear under 'Preferred Technical Skills (NICE TO HAVES)' and are therefore marked preferred, even though they are closely related to the core data engineering work.
NiFi and Airflow are listed together as interchangeable data tool examples under the preferred section; NiFi is used as the primary name with Airflow as an alternative.
Elasticsearch, Accumulo, and MongoDB are listed as interchangeable NoSQL options under preferred; Elasticsearch is used as the primary with the others as alternatives.
No compensation figures were provided in the posting.
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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