Senior Data Engineer - Finance

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

We are looking for a Data Engineer – Finance to join our Data Engineering & Analytics team. Your primary focus will be building and owning the data infrastructure that powers Oura's financial data — including revenue, LTV, Corporate Scorecard, and Rev Ops — ensuring clean, reliable, and timely data for stakeholders across Finance, Sales, and Leadership. While Finance data engineering is your core domain, we expect and actively support our engineers growing into adjacent areas — such as membership, supply chain, or broader platform work — as business needs and individual interests evolve.

This is a hybrid role based in San Francisco, CA, working onsite 1–2 days per week.

What you will do:

• Design, build, and maintain data pipelines and models that power Oura's Corporate Scorecard, revenue reporting, LTV analysis, and Rev Ops workflows.
• Partner closely with Finance, Sales Operations, and Business Intelligence to understand reporting requirements and translate them into scalable data models.
• Own end-to-end data quality and reliability for financial datasets — from ingestion to consumption-ready tables.
• Integrate and rationalize data across finance source systems (e.g., Net Suite, Salesforce, Pigment, e-commerce platforms) into a unified, governed data layer.
• Ensure financial data pipelines meet compliance, audit, and privacy requirements.
• Reduce manual, spreadsheet-driven reporting processes by automating trusted, self-serve data products.

• Contribute to broader lakehouse architecture work including Apache Iceberg, Databricks, and dbt.
• Expand into adjacent domains such as Membership, Rev Ops, or Supply Chain data as the team grows.
• Participate in Data Mesh domain ownership design for the Finance domain.

• 5+ years of experience in data engineering or analytics engineering in production environments.
• Deep experience with financial or revenue data systems — understanding of metrics like LTV, ARR, churn, and funnel analytics.
• Strong SQL and Python skills with a track record of building tested, reliable data pipelines.
• Experience integrating data from ERP, CRM, or e-commerce platforms (Net Suite, Salesforce, Shopify, or similar).
• Familiarity with dbt, Databricks, Spark, or modern lakehouse tools.
• Experience running and monitoring production pipelines on AWS or equivalent cloud.
• Ability to work collaboratively with Finance and non-technical stakeholders to define data requirements.
• Self-motivated, pragmatic, and able to manage your own work independently.

• Experience building or owning a Corporate Scorecard or executive-facing metrics layer.
• Familiarity with Pigment, Looker, or similar financial planning/BI tools.
• Experience with Data Mesh and domain-oriented data ownership.
• Exposure to SDM (Supply & Demand Management) or inventory data.

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• 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
• Region 1 $ 172,550 - $203,000

Oura takes a market-based approach to pay, which may vary depending on your location. US…