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Staff Data Engineer

9 hours, 35 minutes ago
United States
Full-time
Lead
Data Engineer
Software Development
Amplitude Apache Airflow AWS CI/CD dbt Docker DynamoDB Elasticsearch GitHub Kafka Kubernetes Microservices MongoDB MySQL PlanetScale Python Redis REST API Scala Snowflake SOAP SQL Terraform
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MyFitnessPal

MyFitnessPal

MyFitnessPal is a top nutrition tracking app with a calorie tracker, BMR calculator, and food tracker. It helps users reach health goals by tracking meals and physical activity, offering nonstop motivation for a healthier life.

Health Care Providers & Services
10K-50K
Founded 2005
View All Jobs 13

Description

  • Design, build, and maintain high-throughput, event-driven data services and orchestration pipelines using Python, Airflow, and Snowflake.
  • Architect scalable, secure, and extensible data platforms, including modernizing ingestion through CDC and Kafka streaming.
  • Establish DataOps practices covering data modeling, CI/CD, unit testing, and validation frameworks.
  • Define engineering standards, review implementations, and provide technical guidance across the organization.
  • Advance safe, governed agentic and AI-assisted development workflows through collaboration, guardrails, and team enablement.
  • Shape data governance practices for secure and consistent access to organizational data by tools and AI assistants.
  • Manage Snowflake and pipeline infrastructure costs while balancing performance, reliability, and spend.
  • Mentor data and analytics engineers and drive alignment on architecture, tooling, and resilient system design.
  • Lead cross-functional initiatives involving infrastructure, data services, and observability.
  • Develop secure, compliant, and well-governed systems using role-based access controls and data lifecycle management.

Requirements

  • 8–12+ years of engineering experience, including 3–5+ years in senior, architect, or staff-level data engineering roles.
  • Extensive experience with Snowflake or a similar data store.
  • Experience with structured, unstructured, distributed, and non-distributed data stores such as RDS, MySQL, MongoDB, DynamoDB, Redis, or S3.
  • Advanced SQL skills, including optimizing complex queries for large-scale, high-cardinality datasets.
  • Extensive experience with Airflow or a comparable orchestration tool.
  • Experience building high-throughput Python services and high-volume event-driven architectures using CDC and technologies such as Kafka.
  • Experience with API design patterns including REST and SOAP.
  • Strong DataOps experience with modeling, CI/CD, source control, unit testing, and data validation frameworks.
  • Experience implementing monitoring, alerting, observability, and infrastructure-as-code such as Terraform.
  • Experience leading engineering standards, cost-conscious infrastructure ownership, and agentic or AI-assisted development workflows.
  • Preferred: experience with dbt, semantic layers, dataset versioning, scalable data pipelines, experimentation, data governance tools, deterministic AI-assisted tools, or multi-agent orchestration.

Benefits

  • Estimated salary range of $170,000–$230,000, plus an annual performance bonus.
  • Medical, dental, and vision coverage, healthcare support, and a 401(k) plan with employer match.
  • Responsible time off, volunteer days, paid maternity and paternity leave, and fertility support.
  • Mental health benefits, dedicated mental health days, and a monthly wellness allowance.
  • Flexible work arrangements, team connection opportunities, and an annual company gathering.
  • Mentorship programs, virtual learning resources, and professional development opportunities.
  • Monthly technology allowance, MyFitnessPal Premium access, and peer recognition programs.

Interested in this position?

Apply directly on the company website

Apply Now

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