Data Engineer, Principal at BSC
Oakland, CA
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Jul 22, 2026
Oakland, CA
Jul 24, 2026
What this job asks for AI summary
A principal-level data engineering role focused on designing and delivering enterprise data products, including cloud data lakes, data warehouses, and data marts. The position involves close collaboration with enterprise architects, portfolio, analytics, and data engineering teams to shape technical solutions. It suits an experienced engineer comfortable leading complex, end-to-end data initiatives at an enterprise scale.
Senior level
Advertised as Principal, but the requirements read as Senior.
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 Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (3)
This posting is extremely sparse — no specific technologies, tools, platforms, languages, or frameworks are named anywhere in the description. The only concrete technical deliverables mentioned are cloud data lakes, data warehouses, and data marts, which are treated as required based on the role's stated primary responsibility.
The title 'Principal' is advertised, but the posting provides no scope signals (e.g., org-wide authority, cross-team technical direction) beyond a single team context, so the actual seniority is assessed as Senior.
SOC confidence is Medium: the role is framed around designing and building data pipelines and data products (15-1243 Database Architects), but the mention of 'data products' and collaboration with Analytics teams introduces some ambiguity with 15-2051 Data Scientists or 15-2031 Operations Research Analysts.
Read the full posting
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