Senior Data Engineer - Finance at Ōura
- San Francisco, CA
$172,550–$203,000from the description
Jul 19, 2026
- San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A data engineering role centered on building and maintaining pipelines and data models for financial reporting — covering areas such as revenue, lifetime value, and sales operations workflows. The work involves integrating data from ERP, CRM, and e-commerce source systems into a governed data layer, automating reporting processes, and ensuring data quality and compliance. Suited to engineers with a strong background in financial or revenue data systems and modern lakehouse tooling.
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.
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 6 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (database architects). range 4–10
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $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 (8)
The role title carries no seniority level, so advertised seniority is Unspecified; the 5+ years requirement and end-to-end ownership of production financial data pipelines support a Senior classification.
dbt, Databricks, and Spark are listed under the main requirements section with the qualifier 'familiarity with … or modern lakehouse tools' — the substitution qualifier means the specific tools are interchangeable, but hands-on experience with modern lakehouse tooling is a hard gate.
AWS is listed as 'AWS or equivalent cloud' — alternatives Azure and GCP are populated accordingly.
NetSuite, Salesforce, and Shopify appear together as interchangeable examples of ERP/CRM/e-commerce source systems; emitted as one skill with alternatives.
Apache Iceberg is mentioned only in the cross-functional growth areas section (expected over time), not in the primary requirements block — treated as preferred.
Pigment and Looker appear only under 'What Makes You Stand Out' (the nice-to-have section) — treated as preferred.
The compensation range ($172,550–$203,000) is labeled 'Region 1' and a recruiter determines the applicable tier by US location; the posted range is used as-is.
The role is hybrid (onsite 1–2 days/week in San Francisco, CA), so remote is false.
Read the full posting
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