Data Engineer at Stellantis
Auburn Hills, MI
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Aug 18, 2026
Auburn Hills, MI
Aug 20, 2026
What this job asks for AI summary
A mid-level, hands-on Data Engineer role on a Customer Data Platform team, responsible for building and maintaining scalable ETL/ELT pipelines, curated data models, and analytics-ready data products. The work spans customer, marketing, digital, and enterprise data domains, supporting data scientists, analysts, and business stakeholders. The posting explicitly scopes out architecture ownership and platform strategy, positioning this as an individual contributor delivery role in a modern cloud environment.
Mid level
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).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (4)
No specific technologies, tools, languages, or platforms are named anywhere in the posting — it describes responsibilities and domains entirely in generic terms (e.g. 'modern cloud environment', 'data pipelines', 'ETL/ELT'). As a result, the skills list reflects only the broad capability categories the JD explicitly requires; no concrete tool names could be extracted.
SOC code 15-1243 (Database Architects) was chosen because the role centers on building data pipelines and data models for analytics — closer to data/pipeline engineering than general software development. 15-1252 (Software Developers) is a plausible alternative given the pipeline-building and code-review responsibilities.
The posting's preamble explicitly states this role intentionally excludes senior-level expectations (architecture ownership, standards-setting, platform strategy), which informed the Mid seniority assessment despite no years-of-experience figure being given.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data pipeline development.
Read the full posting
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