2 months ago
Base Salary
$150k - $215k/yr
Responsibilities
- Design, build, and operate infrastructure and services for WHOOP’s lakehouse, warehouse, streaming, and data platform systems.
- Improve the performance, reliability, cost efficiency, observability, and operational readiness of production data systems.
- Build internal tooling, APIs, and automation that improve platform usability and developer experience for data consumers.
- Lead platform engineering practices for infrastructure as code, testing, deployments, and operational readiness.
- Monitor production systems, support incident response, and drive continuous operational improvement.
- Partner with Data Science, Analytics, ML Platform, Software Engineering, and data teams to support scalable workflows.
- Drive best practices for data architecture, pipeline design, governance, and platform usage.
- Use AI-assisted development tools to improve development speed, code quality, debugging, and documentation.
Requirements
- At least 5 years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems.
- Strong proficiency in Python and SQL; Java experience is preferred.
- Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production.
- Hands-on experience with Snowflake and modern cloud data infrastructure.
- Experience with AWS services such as S3, EKS, EMR, or EC2.
- Experience with orchestration frameworks such as Airflow or Prefect.
- Strong understanding of infrastructure as code, CI/CD, and DevOps practices for data platforms.
- Ability to independently drive technical projects and own systems end to end with substantial autonomy.
- Strong communication and collaboration skills across engineering and data teams.
- Commitment to using AI-assisted development tools thoughtfully while maintaining high engineering quality.
Benefits
- The position is full-time and based in WHOOP’s Boston, Massachusetts office; relocation may be required.
- The role includes benefits and a generous equity package.
- WHOOP offers equal employment opportunity and participates in E-Verify.
Categories
Data Engineering
About WHOOP
Solving problems that sit at a unique intersection of hardware, tech, health, fitness and design.