ETL Data Engineer
The Corporate · Dallas, TX
$114,400–$124,800
Jul 15, 2026
Dallas, TX
Jul 21, 2026
What this job asks for AI summary
A contract data engineering role focused on building and optimizing ETL pipelines using Apache Beam and Google Cloud Platform Dataflow. The work centers on large-scale data migration, batch and streaming pipeline development, and performance tuning, with Oracle Database and complex relational structures also in scope. Suited to a seasoned data engineer with deep enterprise-level experience in pipeline architecture and GCP.
Senior level · 8+ years · Dallas-Fort Worth-Arlington, TX · 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 40 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (database architects). range 10–60
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $158,173 (middle half $132,644–$169,109).
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 (5)
This is a 6-month contract engagement with 1 day per week onsite in Dallas, TX — not a fully remote or fully onsite role.
The role sits at the boundary between data/ETL pipeline engineering (15-1243 Database Architects) and general software development (15-1252 Software Developers); it was classified as 15-1243 given the strong emphasis on ETL architecture, data migration, and pipeline design rather than general application development.
No compensation figures were provided in the posting.
The title carries no seniority level, but the 8+ years of enterprise data engineering experience requirement supports a Senior classification.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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