Senior Data Engineer – Hardware & Supply Chain
Ōura · - San Francisco, CA
$172,550–$203,000from the description
Jul 1, 2026
- San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
This role centers on building and maintaining the data infrastructure behind hardware manufacturing operations — covering production yield, device traceability, quality metrics, and supply chain data. The engineer will design pipelines integrating sources such as MES and ERP systems into a cloud lakehouse, own data quality end-to-end, and partner with Operations and Hardware teams. It suits an experienced data engineer with a background in manufacturing or supply chain data environments.
Senior level · 5+ years · Remote · 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 1,250 people nationally plausibly meet what this posting asks for (database architects). range 520–2,200
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 $142,568 (middle half $111,775–$173,013). 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 remote-US but excludes candidates in AK, DE, IA, MS, MO, NE, SD, VT, WV, and WI.
Three compensation tiers are listed by US region; the highest (Region 1: $172,550–$203,000) is reported here as the offered range. Region 2 is $158,950–$187,000 and Region 3 is $147,900–$174,000.
SOC classification is a judgement call: the role centers on building data pipelines and lakehouse data models (pointing toward 15-1243 Database Architects / Data Engineers), but the volume of pipeline-building and Python work also fits 15-1252 Software Developers. 15-1243 was chosen as the primary because the core deliverables are data models, ingestion pipelines, and data quality for an analytics lakehouse.
MES (Manufacturing Execution Systems) and ERP integration (SAP, Oracle) are listed as required experience in the qualifications section. SAP and Oracle are named as examples ('e.g., SAP, Oracle'), so they are treated as interchangeable alternatives for the ERP requirement.
Databricks, Apache Iceberg, and dbt appear only under 'What Makes You Stand Out' (the preferred/nice-to-have section), as does experience with device traceability, quality testing data systems, and firmware/device telemetry.
This posting reads as a fully-remote role, so it was scored against the national candidate pool rather than a single metro.
Read the full posting
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