Data Engineer (IE / Ops Research) at Jobgether
$85,000–$141,000from the description
Jul 20, 2026
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Jul 22, 2026
What this job asks for AI summary
A remote, US-based data engineering role with a strong operations research dimension, suited to someone who can build and maintain data pipelines, applications, and workflows on modern platforms while also applying industrial engineering methods — such as capacity modeling, throughput analysis, and simulation — to support operational decision-making. The work spans data integration from ERP and supply chain systems through to predictive analytics and scenario planning, with outputs communicated to technical teams and senior leadership. An active Secret-level clearance is required.
Mid level · 3+ years · Remote · Bachelor's required · Secret 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
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 (11)
The role is a genuine hybrid of data engineering (pipeline/platform building) and operations research/industrial engineering (simulation, capacity modeling, Lean/Six Sigma). SOC 15-1243 (Database Architects) was chosen because the primary deliverable is building and maintaining data pipelines and platforms; 15-2031 (Operations Research Analysts) is a strong runner-up given the explicit OR/IE methodology requirements.
Python and PySpark are listed in the Requirements section as 'preferred' within that section ('Python or PySpark preferred'), so they are treated as a hard gate on scripting capability with those two as the named interchangeable options. They are emitted as a single the required/preferred flag requirement with alternatives, per the interchangeable-options rule.
ERP, maintenance, operational, and supply chain systems are listed as required data sources in the Requirements section; 'ERP systems' is used as the canonical named technology.
Relational database knowledge is explicitly required in the Requirements section.
Simulation modeling, predictive modeling, and Lean/Six Sigma appear under 'Experience applying industrial engineering, operations research…is highly valued' and in the Preferred section — treated as preferred.
The minimum experience requirement of 3 years is stated in the Requirements section; the Preferred section mentions 6+ years across data engineering, IE, and/or OR disciplines — the hard gate is 3 years.
The role is remote-first but notes occasional on-site work in the DC metro area; remote=true reflects the primary work arrangement.
No specific data platform, code repository, or pipeline builder tool is named by product name anywhere in the posting — only generic descriptors ('platform-based tools', 'code repositories', 'pipeline builders') — so no additional named technology skills could be extracted.
A Secret-level DoD/federal security clearance is explicitly required as a hard gate.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): simulation modeling, predictive modeling.
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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