Data Engineer IV (6249)
itD Tech
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Jul 20, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior-level contract data engineering role (six months, remote within Pacific Time) focused on designing and maintaining large-scale data pipelines and ETL processes on AWS to support AI infrastructure and inference initiatives. The work involves transforming raw data into analytics-ready datasets, building enterprise data management systems, and collaborating with AI infrastructure engineers and data architects. Eight or more years of data engineering experience is required.
Senior level · 8+ years · Remote · Bachelor's required · Contract
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
Roughly 1,800 people nationally plausibly meet what this posting asks for (database architects). range 1,050–2,700
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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).
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)
This is a W2 contract engagement (6-month duration); sponsorship is not available.
Compensation is listed only as 'depending on experience' — no figures were provided.
The role is remote but candidates must be located within the Pacific Time Zone; no specific metro or state is given.
The title 'Data Engineer IV' implies a leveled IC role, but the posting carries no explicit seniority label (Senior, Staff, etc.) in the title itself — advertised seniority is treated as Unspecified. The 8+ years requirement and end-to-end ownership scope support a Senior classification.
SOC is 15-1243 (Database Architects) given the emphasis on designing scalable data architectures, data models, and enterprise data infrastructure; 15-1252 (Software Developers) is a plausible alternative given the pipeline-building and ETL development focus.
Several required skills (e.g., end-to-end pipeline design, data modeling, ETL) are responsibilities/methodologies rather than named tools — only concrete named technologies (AWS) and capability categories (ETL, data modeling) with sufficient specificity were captured. The JD names no specific AWS services, orchestration tools, or query engines.
Experience supporting Meta or similar enterprise environments is listed under Preferred Qualifications and is not captured as a skill, as it names a client environment rather than a technology.
Process improvement certifications (Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI) are listed under Preferred Qualifications but are non-technical credentials, not tools or technologies, so they are omitted per extraction rules.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data pipeline development.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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