Senior Data Engineer – Hardware, Supply Chain

ŌURA

Senior Data Engineer building data infrastructure for Oura's manufacturing operations. Focus on HW manufacturing data including production yield, device traceability, and supply chain data.

Posted 7/2/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $172,550 - $203,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines for manufacturing data, ensuring data quality and reliability while integrating various data sources. Proficient in SQL and Python, with experience in cloud environments like AWS and a strong understanding of manufacturing and supply chain data.

Highest-signal resume keywords

Data EngineeringSQLPythonAWSManufacturing Data Integration

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Hard Skills

Data Pipeline DesignData ModelingProduction Data SystemsData Quality ManagementData Governance

Soft Skills

Self-MotivatedCollaborativePragmatic

Tools & Technologies

Manufacturing Execution Systems (MES)ERP SystemsFactory IoTCloud Platforms

Industry Keywords

Manufacturing DataSupply ChainDevice YieldTraceabilityProduction Performance

Tech Stack

Tools & technologies

AssemblyAWSCloudERPIoTOraclePythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain data pipelines that ingest and process manufacturing data from Oura's hardware production processes — including device yield, assembly, traceability, and supply chain events.
Build data models that give Operations, Hardware, and Supply Chain teams reliable, timely visibility into production performance and supply health.
Integrate data from manufacturing execution systems (MES), ERP/supply chain platforms, and factory data sources into Oura's lakehouse.
Own end-to-end data quality and reliability for Hardware/SC data — from factory ingestion to analytics-ready tables.
Partner closely with Hardware Engineering, Operations, and Quality teams to understand data needs and deliver scalable data products.
Ensure manufacturing data systems meet security, compliance, and data governance requirements.
Contribute to reducing single-point-of-failure risk in Hardware data infrastructure.

Requirements

What you’ll need

5+ years of experience in data engineering, with exposure to manufacturing, operations, or supply chain data.
Strong SQL and Python skills with a track record of building reliable production pipelines.
Experience integrating data from manufacturing systems — MES, ERP (e.g., SAP, Oracle), factory IoT, or supply chain platforms.
Ability to model manufacturing data: production lots, device traceability, yield events, and supply chain transactions.
Experience running production data systems on AWS or equivalent cloud.
Self-motivated, pragmatic, and able to manage your own work in a distributed team.
Ability to collaborate effectively with Hardware and Operations stakeholders who may not have a data background.

Benefits

Comp & perks

Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave