Senior Data Engineer - Finance

Hybrid San Francisco, United StatesHybrid

Responsibilities

- Design, build, and maintain data pipelines and models that power Oura's Corporate Scorecard, revenue reporting, LTV analysis, and RevOps workflows.
- Own end-to-end data quality and reliability for financial datasets — from ingestion to consumption-ready tables.

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.
- Integrate and rationalize data across finance source systems (e.g., NetSuite, Salesforce, Pigment, e-commerce platforms) into a unified, governed data layer.
- Contribute to broader lakehouse architecture work including Apache Iceberg, Databricks, and dbt.
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.
- Familiarity with Pigment, Looker, or similar financial planning/BI tools. -
Experience with Data Mesh and domain-oriented data ownership.

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
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.
Region 1 $172,550 - $203,000
Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by

Our mission at Oura is to empower every person to own their inner potential.
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.
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. What you will do:
- Partner closely with Finance, Sales Operations, and Business Intelligence to understand reporting
requirements and translate them into scalable data models.
- Reduce manual, spreadsheet-driven reporting processes by automating trusted, self-serve data products.