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.

About the role

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 RevOps — 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.

Responsibilities

• Primary Focus – Finance Data Engineering
  • Design, build, and maintain data pipelines and models that power Oura's Corporate Scorecard, revenue reporting, LTV analysis, and RevOps 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., NetSuite, 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.
• Cross-functional Growth Areas (expected over time)
  • Contribute to broader lakehouse architecture work including Apache Iceberg, Databricks, and dbt.
  • Expand into adjacent domains such as Membership, RevOps, or Supply Chain data as the team grows.
  • Participate in Data Mesh domain ownership design for the Finance domain.

Requirements

• 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 (NetSuite, 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.

Qualifications

What Makes You Stand Out

• 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.

Benefits

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.

• 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

Pay

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

Region 1: $172,550 - $203,000

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).