Data Engineer at Platinum Technologies
Herndon, VA
—
Aug 10, 2026
Herndon, VA
Sep 24, 2026
What this job asks for AI summary
A senior data engineering SME role at a Northern Virginia cybersecurity and cloud firm supporting U.S. Public Sector intelligence missions. The position centers on architecting and building enterprise-scale data pipelines, integration frameworks, and data architectures that underpin Object-Based Intelligence analytics, knowledge graphs, and AI/ML applications. The ideal candidate brings deep experience with ETL/ELT, Semantic Web technologies, distributed processing, and cloud/containerized platforms, and holds an active TS/SCI clearance with CI polygraph.
Senior level · 12+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · TS/SCI clearance · Full-time
Quick apply — this platform usually takes a CV and a few fields.
“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
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).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 12, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting requires an active TS/SCI clearance with CI polygraph — this is a hard gate explicitly stated in both the opening and the Required Skills section.
Experience requirement is stated as a two-path gate: 12+ years with an advanced degree, or 17+ years with a bachelor's degree. The overall years minimum is set to the lower bound (12 years). The degree requirement is not a standalone hard gate because equivalent experience is accepted in lieu of a higher degree.
Kubernetes and OpenShift are listed together as a single cloud/container platform requirement; both are captured as required skills with each as the other's alternative.
Semantic Web technologies (RDF, OWL, SPARQL) and knowledge graphs are listed under Required Skills but framed with 'familiarity with' — softer language than the other requirements — so they are marked preferred.
AI/ML pipeline support is described as a responsibility rather than a gating qualification, so it is marked preferred.
The SOC classification is a close call between 15-1243 (Database/Data Architects, for the pipeline and data architecture focus) and 15-1252 (Software Developers, for the pipeline development and integration framework coding). The dominant emphasis on enterprise data architecture, ontology-driven integration, and data governance tips the classification toward 15-1243.
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
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.