Senior Data Engineer, Integrated Services Data Warehouse (ISDW) at Ford
Dearborn, MI
$99,600–$166,600from the description
Aug 9, 2026
Dearborn, MI
Sep 24, 2026
What this job asks for AI summary
A Senior Data Engineer role at Ford's Global Data Insight & Analytics organization, focused on designing and scaling next-generation big data infrastructure on Google Cloud Platform and integrating Agentic AI systems. The position involves building real-time streaming pipelines, LLM-based autonomous agents, and analytics infrastructure supporting global subscription and integrated services products. Suited to experienced engineers with deep PySpark and GCP expertise who are comfortable operating at petabyte scale.
Senior level · 7+ years · Detroit-Warren-Dearborn, MI · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
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 2 people in the Detroit-Warren-Dearborn, MI area plausibly meet what this posting asks for (database architects). range 1–3
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
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 $134,944 (middle half $107,830–$156,426). 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 11, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role sits at the intersection of data pipeline/architecture engineering (15-1243) and software development (15-1252); the Agentic AI and CI/CD responsibilities push it toward software development, but the primary framing is big data infrastructure and pipeline architecture.
The 7+ years figure is the overall Big Data platform experience requirement; PySpark specifically requires 6+ years, captured on that skill.
CI/CD pipeline tools (GitHub Actions, GitLab CI, Tekton, Jenkins) are listed in the requirements section with 'or equivalent' — GitHub Actions is used as the primary name with the others as alternatives.
Apache Airflow and Astronomer are listed together as a single orchestration requirement; Astronomer is the managed Airflow platform, so Airflow is the primary skill with Astronomer as an alternative.
The posting states this is a hybrid role requiring onsite four or more days per week, so remote is set to false.
Master's degree and GCP certifications are listed under Preferred Qualifications and are not hard requirements.
Vector database integrations are mentioned in the Agentic AI responsibilities section (narrative/context), not in a named-technology requirements block, so no specific vector DB product is emitted.
Domain familiarity with subscription/billing platforms is listed as a minimum qualification but names no specific technology, so it is not emitted as a skill.
Read the full posting
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