Senior Data Engineer at The Corporate
Dublin, CA
$187,200–$197,600
Jul 21, 2026
Dublin, CA
Jul 22, 2026
What this job asks for AI summary
A senior data engineering role focused on designing and maintaining data infrastructure to support big data access and analysis. Day-to-day work involves building ETL pipelines, deploying machine learning algorithms in production, and collaborating with non-technical stakeholders across departments. The role suits an experienced data engineer with a background in tools such as Snowflake, Microsoft Fabric, or similar platforms, who is also comfortable mentoring junior colleagues.
Senior level · 5+ years · San Francisco-Oakland-Hayward, CA
“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 45 people in the San Francisco-Oakland-Hayward, CA area plausibly meet what this posting asks for (database architects). range 15–70
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 $179,727 (middle half $166,748–$216,836).
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 (5)
Dublin, CA falls within the San Francisco-Oakland-Hayward, CA CBSA (41860); the MSP note specifies local candidates only and a hybrid schedule of 1–2 days/week in office.
The ETL ecosystem tools (Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE) are listed as examples ('such as') of the 5-year data engineering/ETL requirement — they are illustrative alternatives rather than individual hard gates. Palantir Foundry is listed as the primary with the others as alternatives; OBIEE is separated out as it leans more toward BI/reporting.
The degree requirement (BA/BS in CS, MIS, or related field) explicitly accepts 'equivalent experience,' so no minimum degree is flagged.
The role straddles data/pipeline architecture (15-1243) and general software development (15-1252) due to the ML deployment and software engineering principles requirements; 15-1243 was chosen as the primary given the dominant data engineering and modeling focus called out as the top priority.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data engineering.
Read the full posting
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