Senior Data Engineer, Membership

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 Senior Data Engineer – Membership to join our Data Engineering & Analytics team. Your primary focus will be building and owning the data pipelines and infrastructure that unify Oura's membership data across multiple source systems — creating a reliable, governed single source of truth for subscriber data. Membership is a core and rapidly growing revenue stream, and there is currently no dedicated engineering resource supporting it. While Membership is your primary domain, we expect and actively support team members growing into adjacent engineering areas — such as Marketing, E-commerce, or broader data platform work — as the organization scales.

What You'll Do:

Primary Focus – Membership Data Engineering

• Design, build, and maintain data pipelines that ingest, harmonize, and model Oura's membership data from multiple source systems into a unified, production-grade data layer.
• Partner with the Membership Data Analyst, Marketing, Product, and Finance teams to define data requirements and deliver reliable membership data products.
• Own end-to-end data quality and reliability for the membership data domain — from raw ingestion to analytics-ready tables.
• Integrate subscription billing, CRM, and app engagement data into a coherent Membership data model.
• Apply data governance practices: data lineage, documentation, access controls, and metric validation.
• Contribute to the Membership domain's Data Mesh ownership model.

Cross-functional Growth Areas (expected over time)

• Expand into Marketing/Martech or E-commerce data engineering as the team scales.
• Contribute to broader lakehouse architecture improvements (Iceberg, Databricks, dbt).
• Support platform infrastructure work alongside the Data Platform team.

We would love to have you on our team if you have:

• 5+ years of experience in data engineering, building and operating production pipelines.
• Strong SQL and Python skills with a track record of reliable pipeline development.
• Experience integrating data from subscription billing, CRM, or marketing platforms (Stripe, Braze, Salesforce, Shopify, or similar).
• Familiarity with modern data stack tooling: dbt, Databricks, Spark, Airflow, or equivalent.
• Good understanding of subscription data models: subscriber lifecycle, events, billing, cancellations.
• Experience running and monitoring production systems on AWS or equivalent cloud.
• Self-motivated, pragmatic, and able to manage your own work in a distributed team.

What Makes You Stand Out:

• Experience building data infrastructure for a consumer subscription or membership business.
• Familiarity with event-driven architectures and stream processing for subscription event data.
• Experience with Data Mesh and domain-oriented data ownership.
• Exposure to Marketing or E-commerce data engineering.

What We Offer:

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.

Benefits:

• Competitive salary
• Lunch benefit
• Wellness benefit
• Flexible working hours
• Wellness Time Off
• Enhanced occupational health care
• Personal Oura Ring plus lifetime membership

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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 federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Disclaimer: Beware of fake job offers!
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