Senior Data Engineer
Tatari · San Francisco, CA
$170,000–$200,000from the description
Jul 22, 2026
San Francisco, CA
Jul 23, 2026
What this job asks for AI summary
A senior data engineering role focused on designing, building, and owning large-scale ETL pipelines that transform high-volume raw data into production-grade datasets for TV advertising reporting and measurement products. The work spans the full lifecycle — from requirements and technical specs through implementation, validation, and rollout — in close collaboration with data science, backend, frontend, and product teams. Best suited to someone with deep hands-on experience in Spark/PySpark, Airflow, and data modeling at scale.
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 3 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 40 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (database architects). range 25–60
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 is a genuine hybrid between data/pipeline architecture (15-1243) and software development (15-1252): it involves designing and building large-scale ETL pipelines end-to-end, including tech specs, implementation, and production rollout. 15-1243 was chosen because the primary deliverable is curated, production-grade datasets and data modeling (schema design, partitioning, data contracts), but 15-1252 is a close runner-up given the strong software engineering emphasis.
Databricks and Delta Lake are called out explicitly as the team's current stack ('We use Databricks and Delta Lake here'), placing them firmly in the requirements context alongside Spark/PySpark.
Python is listed with 'or a similar language' — alternatives reflect other common data engineering languages a hiring manager might accept.
ClickHouse is listed under 'Bonus points' and is therefore preferred.
The posting states a hybrid RTO of 2 days per week in office; the office location is inferred as San Francisco, CA based on Tatari's known headquarters — the JD does not explicitly name a city.
The $170,000–$200,000 figure is stated as total compensation (inclusive of equity and other benefits), not base salary alone.
Read the full posting
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