Staff Data Engineer
Core
Design, build, and maintain high-throughput, event-driven data services and orchestration pipelines to enable reliable analytics and product insights at scale for the MyFitnessPal ecosystem.
Role type
Staff Data Engineer (Platform & Architecture)
Builds
Scalable data pipelines, ingestion patterns (CDC, Kafka), and the backend infrastructure supporting the world's largest nutrition database and AI/ML assets.
Domain
Health & Fitness / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, Snowflake, Airflow, SQL, Kafka, CDC, Terraform, API design, DataOps, Observability, AI-assisted development workflows
Preferred skills
dbt, dataset versioning, data cataloging/governance tools, multi-agent orchestration, high-velocity experimentation
Technologies
Airflow, Snowflake, dbt, Kafka, Python, SQL, Terraform, Kubernetes, Docker, Elasticsearch, Scala, PlanetScale, Amplitude, Appsflyer, Okta, Claude Code
Responsibilities
Architect and evolve core platform components; define and evangelize data engineering standards; foster team agentic development maturity; shape data governance strategy; own cost efficiency for Snowflake; mentor data engineers; lead cross-functional infrastructure initiatives.
Seniority
Staff, hands-on IC with strategic leadership