MyFitnessPal
Staff Data Engineer
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Job Description
At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals.
We are looking for a Staff Data Engineer to join the MyFitnessPal Data Engineering team. Our users rely on MyFitnessPal to power their health and fitness journeys every day. As a member of our MyFitnessPal Engineering team, you'll have the opportunity to positively impact those users with your expertise in the backend systems that drive the MyFitnessPal ecosystem. In addition to technical expertise, you'll find that your teammates value collaboration, mentorship, and inclusive environments.
About the team
MyFitnessPal encourages innovation and adoption of the latest technologies available to deliver an amazing experience for our members. Our diverse team of brilliant technologists builds and maintains native mobile applications, a web application, the world's largest nutrition database, constantly evolving data science and AI/ML assets, the backend infrastructure and data platform required to support these applications and databases, as well as the business systems and data required to manage an awesome company. Technologies and languages we work with include: Airflow, Snowflake, dbt, Git Hub, PlanetScale, Elasticsearch, Scala, Python, SQL, Amplitude, Appsflyer, Kubernetes, Kafka, Docker, Okta and Claude Code. We care more about your general engineering skills and technical leadership than your knowledge of a specific language and or framework.
What you'll be doing
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- Design, build, and maintain high-throughput, event-driven data services and orchestration pipelines using Python, Airflow, and Snowflake, enabling reliable analytics and product insights at scale
- Architect and evolve core platform components to ensure scalable, secure, and extensible data pipelines to support the organization, including updating ingestion patterns (CDC, Kafka event streaming) to modern
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