Data Engineer at Mill
San Bruno, CA
$185,000–$210,000from the description
Jul 10, 2026
San Bruno, CA
Jul 21, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining production data pipelines, a customer-facing recommendation engine (including LLM-based logic), and a cloud data warehouse. The work spans raw data ingestion, transformation, data quality monitoring, and CI/CD for pipelines. It suits an experienced data engineer comfortable owning end-to-end systems and collaborating closely with product, analytics, and marketing teams.
Senior level · 5+ years · San Francisco-Oakland-Berkeley, CA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 25 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (database architects). range 15–35
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). 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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role sits at the boundary between data/pipeline engineering (15-1243) and software development (15-1252): it includes building a customer-facing recommendation engine with LLM logic, which leans toward software development, but the dominant framing — warehouse modeling, data pipelines, dbt/Airflow/Fivetran, data quality, and metrics governance — points to data/pipeline architecture as the primary day-to-day work.
dbt is listed as the primary named tool; Airflow and Fivetran appear as 'or similar' alternatives in the same requirement and are captured in the alternatives array rather than as separate skills.
Snowflake is listed as the primary cloud data warehouse example; BigQuery and Redshift are named as interchangeable alternatives in the same requirement.
LLM experience is explicitly called out as a production requirement ('recommendation logic built with LLMs') within the required qualifications section, not merely a nice-to-have.
The posting does not specify a work location beyond the company being based in the San Francisco Bay Area; CBSA assigned based on Mill's known headquarters. Remote status is unspecified in the posting — marked non-remote as a conservative default.
Compensation of $185k–$210k is stated as base salary only, explicitly excluding benefits and potential equity.
Read the full posting
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