Senior Data Engineer (Python) at Hyundai Autoever America
Irvine, CA
$96,550–$138,061from the description
Aug 5, 2026
Irvine, CA
Sep 24, 2026
What this job asks for AI summary
A Senior Data Engineer role at Hyundai AutoEver America in Irvine, CA, focused on designing and maintaining Python-based data pipelines, orchestrating workflows with Apache Airflow, and implementing Medallion/Lakehouse architecture (Bronze, Silver, Gold layers). The role involves close collaboration with data scientists, analysts, and business stakeholders to deliver scalable ETL/ELT solutions, enforce data quality, and apply CI/CD practices across enterprise cloud data platforms.
Senior level · 7+ years · Los Angeles-Long Beach-Anaheim, CA · Bachelor's required · Full-time
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How this req sits in the market our data
Roughly 50 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (database architects). range 20–70
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 Aug 7, 2026. It is a model, not a headcount.
Why we read it this way (5)
The 7+ years requirement is stated against 'data warehouse or MDM applications', which is a domain-level gate rather than a specific technology — captured as total experience.
Apache Airflow is called out prominently in the role overview and responsibilities but does not appear under the Basic Qualifications section; it is treated as preferred accordingly.
Medallion/Lakehouse Architecture, cloud platforms (Azure Data Lake/AWS/GCP), PySpark, Git, and CI/CD all appear exclusively under Preferred Qualifications.
The role sits at the boundary between data pipeline/ETL engineering (15-1243 Database Architects) and general software development (15-1252); the primary emphasis on data architecture, Medallion layers, and data modeling tips it toward 15-1243, but the heavy Python/framework-building work is a genuine signal for 15-1252.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Medallion Architecture.
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