Data Engineer Mid-Level at Full Visibility LLC
Winchester, VA
$80,000–$140,000
Jul 9, 2026
Winchester, VA
Jul 21, 2026
What this job asks for AI summary
A mid-level data engineering role supporting the design and delivery of visual analytics applications in mission-critical government environments. Day-to-day work involves building data pipelines and analytics capabilities for both desktop and web platforms, processing structured and semi-structured data streams, and leveraging high-performance computing alongside open-source and commercial tools. Suits an experienced data engineer comfortable working alongside data scientists, software engineers, and mission stakeholders in a cleared setting.
Mid level · 5+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · TS/SCI clearance · Full-time
Pay in the description: $80,000–$145,000
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 $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 (8)
The role is explicitly titled 'Mid-Level' and requires 5+ years of Data Engineering experience — the advertised and assessed seniority align at Mid.
An active TS/SCI clearance is a hard gate; candidates are also subject to a CI Polygraph after start date and must be able to obtain and maintain CI Polygraph eligibility.
The posting is hybrid (Winchester, VA or Washington, DC) — not fully remote.
The JD references 'open source, COTS, and GOTS technologies' but names no specific tools, frameworks, or platforms. No concrete named technologies could be extracted beyond the general capability areas described.
SOC classification is Medium confidence: the role spans data engineering (pipeline/integration → 15-1243) and analytics/visualization (→ 15-2031); the engineering and integration framing was weighted as primary.
No degree requirement is stated in the posting.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data engineering, structured/semi-structured data processing.
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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