At MyFitnessPal, our vision is to be the global catalyst for every “body” to achieve their healthy. We believe good health starts with what you eat. We provide the tools and resources to reach your fitness goals.

We are looking for a 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.

What you’ll be doing:

  • Build and maintain pipelines that provide data critical to operational reporting and data-driven initiatives
  • Integrate with services and systems across the MyFitnessPal engineering teams
  • Evaluate and improve existing pipelines, data models, and processes to provide more robust solutions that allow others to move quickly and efficiently
  • Support resolution of production issues across the Data Platform stack
  • Engage in code-reviews, working with teammates to learn and grow
  • Live our core values in all you do:
    • Be Kind and Care
    • Live Good Health
    • Be Data-Inspired
    • Champion Change
    • Leave it Better than You Found It
    • Make It Happen

Qualifications to be successful in this role:

  • 2-4 years of data engineering experience working with large datasets and complex data environments, processes, and associated solutions
  • Experience with a variety of data stores (e.g. Snowflake, MySQL, MongoDB, DynamoDB, etc.)
  • Experience with data orchestration tooling (e.g. Airflow, Data Factory, etc.)
  • Experience with development languages (e.g. Python, SQL, Scala, etc.)
  • Understanding of data modeling for analysis by business intelligence or data science teams
  • Experience with a variety of API design patterns, such as REST
  • Experience developing validation and data integrity frameworks
  • Triaging and debugging production data issues
  • Experience building high volume data pipelines for downstream analysis supporting operational indicators
  • Experience with data at scale
  • Worked alongside client teams to support integration efforts
  • Familiarity with AWS and/or other cloud computing platforms


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