Data Engineer- Hybrid
Match Made Tech · Irvine, CA
$80–$95/hrfrom the description
Jul 13, 2026
Irvine, CA
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining data pipelines, ETL processes, and database infrastructure for a greenfield AI initiative. Day-to-day work involves designing PostgreSQL schemas, developing Python-based pipelines, integrating AWS services (Glue, S3, Redshift, EMR), and loading data into Snowflake. Suited to engineers with at least three years of hands-on experience across Python, SQL, and AWS data tooling.
Mid level · 3+ years · Los Angeles-Long Beach-Anaheim, CA · 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 70 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (database architects). range 30–100
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 $159,165 (middle half $121,760–$182,057). 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 (7)
The role is a 2-year contract with an explicit conversion to full-time; classified as Contract accordingly.
The schedule is Monday–Thursday onsite in Irvine, CA with Fridays remote — not fully remote.
The JD lists both a Bachelor's and Master's degree as acceptable options with no 'or equivalent experience' clause; however, since either degree satisfies the requirement, the minimum is a Bachelor's, and the degree requirement is set to Bachelors. Note: the JD's phrasing ('Bachelor's or Master's') is unusual — it does not clearly gate on a degree over equivalent experience, so this is a borderline call.
Snowflake is named in the intro and responsibilities as the target data warehouse but does not appear explicitly in the Qualifications section; it is treated as a hard requirement given its prominence throughout the posting.
AWS Glue, S3, Redshift, and EMR are all called out by name in both the responsibilities and qualifications sections and are treated as individual hard-required skills rather than collapsed into a single AWS entry.
The SOC classification is a close call between 15-1243 (Database Architects, covering data pipeline/warehouse design) and 15-1252 (Software Developers, given the Python/Java coding emphasis). The pipeline-and-warehouse design focus tips the primary classification to 15-1243.
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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