M

Staff Data Engineer

Remote - US · Remote · full time · Staff

$170,000 – $230,000

Listed on MyFitnessPal’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role leads data platform architecture and engineering practices at a health and fitness company, designing high-throughput event-driven pipelines and mentoring engineers across a diverse tech stack. It suits experienced engineers ready to influence organizational standards, manage infrastructure costs, and help teams adopt AI-assisted development safely.

Our summary, not MyFitnessPal’s wording. The full posting is on their site.

Skills this role names

Log in to see which of these are already on your profile.

What they ask for

Required

8–12+ years in engineering roles
3–5+ years in data engineering at senior/architect/staff level on end-to-end platforms
Extensive Snowflake or equivalent data warehouse experience
Advanced SQL skills for complex queries on large datasets
Extensive Airflow or equivalent orchestration experience
Python experience building high-throughput services
Event-driven architecture experience including CDC and Kafka
API design patterns (REST, SOAP)
DataOps expertise: modeling, CI/CD, source control, testing, validation
Observability implementation via monitoring and alerting
Infrastructure-as-code experience (Terraform)
Experience designing or driving adoption of agentic/AI-assisted development workflows
Demonstrated track record defining engineering standards adopted across teams/organizations
Cost-conscious infrastructure ownership

Nice to have

dbt modular modeling and semantic layer experience
Dataset versioning and CI enforcement
Data pipeline scaling and resilience experience
High-velocity experimentation environment background
Data cataloging/governance tools (Secoda, Snowflake Horizon)
Building or evaluating AI-assisted internal tools with deterministic business-rule enforcement
Multi-agent orchestration or coordination patterns