Data Engineer - Clearance Required at LMI
$101,144–$174,591from the description
Aug 4, 2026
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Sep 24, 2026
What this job asks for AI summary
A data engineering role supporting a U.S. Special Operations Command mission partner, focused on designing, building, and operating enterprise data pipelines and platforms that transform structured and unstructured data into machine-learning-ready formats. The engineer will architect data lakes, warehouses, and lakehouse solutions, implement ETL/ELT workflows, enforce data quality and governance controls, and collaborate with data science and AI/ML teams to enable predictive analytics, NLP, and generative AI applications in a secure government environment.
Senior level · 5+ years · Remote · Bachelor's required · Secret clearance · Full-time
Long application — this platform typically asks you to create an account and re-enter your work history.
“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 $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 Aug 7, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role is classified as 15-1243 (Database Architects) because its primary focus is designing and architecting data platforms, pipelines, and storage systems (data lake/warehouse/lakehouse). However, the heavy ETL/ELT development and Python engineering work make 15-1252 (Software Developers) a credible alternative.
The posting requires an active Secret clearance and the ability to obtain a Top Secret — the hard gate is Secret; Top Secret is aspirational.
The degree requirement is a Bachelor's in a technical field with no explicit 'or equivalent experience' language, so it is treated as a hard requirement.
AWS GovCloud and Azure Government appear together under Desired Qualifications as interchangeable cloud environment options.
Distributed processing, workflow orchestration, streaming, API integration, data catalog, and enterprise data governance are listed together as a single desired-qualifications bullet; they are split into separate skills where they represent distinct named technology categories.
The salary range ($101,144–$174,591/year) is explicitly labeled as a target range and not a guarantee of compensation.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): workflow orchestration.
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.
Read the full posting
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