Design foundational data infrastructure that multiple product teams depend on - not ship features in isolation.
Design data transformation pipelines that convert raw health signals, user inputs, and third-party data into structured, queryable context
Architect event-driven ingestion using tools like Kinesis, EventBridge, and SQS - handling duplicate events, traffic spikes, and partial failures gracefully
Define flexible data models and schemas for a hierarchical health context ontology that evolves as new context types emerge
Build multi-consumer APIs and data contracts serving LLM-powered reasoning engines, mobile apps, and analytics pipelines through clean, well-documented interfaces
Operate and design data storage at scale
Create SDKs and integration surfaces that let other squads contribute and own contexts with minimal friction
Collaborate effectively in a globally distributed, diverse, and cross-functional team, adapting as Oura evolves and new opportunities emerge.
Own production quality end-to-end: testing, monitoring (Grafana, Prometheus, OpenTelemetry), alerting, and documentation.

Requirements

5+ years building and operating production data systems at scale in Python
Experience designing event-driven architectures - message brokers, event streams, CDC pipelines, with understanding of delivery guarantees, fan-out, and backpressure
Deep experience with data transformation pipelines - ingesting from heterogeneous sources, normalizing, enriching, and serving with clear data contracts
Strong technical grasp of AWS ecosystems with a focus on varied data storage solutions (RDS, DynamoDB, etc.), asynchronous messaging (SQS, EventBridge), and scalable compute environments like EKS and Lambda.
A data-model-first mindset - you start with the shape of the data and access patterns before jumping to service architecture
Experience building shared platforms or APIs that multiple teams depend on, with thoughtful versioning and self-service integration patterns
Strong systems design instincts - you think in terms of data integrity, resilience, and failure modes before they become incidents
Excellent communication - you explain your thinking before acting, ask incisive questions upfront, and articulate trade-offs clearly
Have a team-oriented mindset and enjoy working in a diverse environment with distributed teams.

Benefits

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythondata transformation pipelinesevent-driven architecturemessage brokersevent streamsCDC pipelinesdata modelingdata integrityresiliencefailure modes

Soft Skills

excellent communicationteam-oriented mindsetcollaborationadaptabilityproblem-solvingcritical thinkingincisive questioningarticulating trade-offsworking in diverse environmentscross-functional teamwork