Staff Data Engineer: Lead Scalable Data Pipelines

MyFitnessPal, Inc.; Northern (KY); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with match

Professional growth programs

Job summary

MyFitnessPal, Inc. is seeking a Staff Data Engineer to join our Data Engineering team.

You will design and scale data pipelines, lead architectural decisions, and drive DataOps practices to ensure reliable and secure data platforms that power health insights for millions of users. You will mentor engineers, shape governance, and collaborate with product and engineering teams to deliver impactful data-driven features at scale.

Qualifications

• 8-12+ years in engineering roles with 3-5+ years in data engineering at senior/architect/staff level.

Responsibilities

• 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; update ingestion patterns to modernize legacy pipelines.
• Collaborate on DataOps best practices—data modeling, CI/CD, unit testing, and validation frameworks.

Skills

Python

Airflow

Snowflake

dbt

Kubernetes

Kafka

SQL

DataOps

Observability

Terraform

Tools

Snowflake

dbt

GitHub

Kubernetes

Kafka

Elasticsearch

PlanetScale

Airflow

Python

Terraform

Job description

MyFitnessPal, Inc. is seeking a Staff Data Engineer to join our Data Engineering team.

You will design and scale data pipelines, lead architectural decisions, and drive DataOps practices to ensure reliable and secure data platforms that power health insights for millions of users. You will mentor engineers, shape governance, and collaborate with product and engineering teams to deliver impactful data-driven features at scale.