Engineering Manager, Data Engineering

Whoop•Boston, MA

76d•Onsite

About The Position

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking an Engineering Manager, Data Engineering to lead the team responsible for the data that powers WHOOP AI, analytics, and decision-making. In this role, you will manage the engineers who build, optimize, and maintain the data pipelines and platforms that underpin our business operations and member experiences. You'll bring a strong technical foundation, a keen eye for operational excellence, and an ability to align cross-functional teams to deliver impactful outcomes. As a leader, you will balance strategic vision with hands-on execution, guiding your team through complex engineering challenges while ensuring WHOOP's data ecosystem is performant, reliable, and cost-efficient.

Requirements

Bachelor's or Master's Degree in Computer Science, Engineering, or a related field; or equivalent professional experience.
5+ years of experience in data or software engineering, including 2+ years in a people management role.
Deep understanding of modern data architectures (e.g. Snowflake, Iceberg, Databricks, or similar) and cloud platforms (e.g. AWS, GCP, Azure).
Proficiency in programming languages such as Python and familiarity with data pipeline orchestration tools (e.g., Prefect, Airflow).
Proven track record of balancing technical innovation with operational and financial efficiency (OpEx ownership).
Strong stakeholder management skills - able to translate complex data needs into clear business outcomes and communicate effectively across engineering, product, and leadership teams.
Passion for building high-performing teams, fostering growth, and creating systems that scale to power WHOOP's mission.

Responsibilities

Lead and Develop a High-Performing Team: Manage, mentor, and grow a team of data engineers focused on data quality, performance, and scalability across WHOOP's platforms.
Prioritize and Deliver Impactful Work: Manage competing priorities and ensure the team focuses on the most critical projects that drive measurable outcomes for WHOOP and its members.
Drive Operational Excellence (OPEX): Establish and monitor KPIs for system reliability, cost efficiency, and delivery speed. Partner with finance and platform teams to optimize spend while maintaining high service quality.
Own Data Pipelines: Oversee the design and maintenance of WHOOP's core data pipelines, ensuring scalability, reliability, and adherence to best practices in security, governance, and observability.
Collaborate with Key Stakeholders: Partner with the Data Science, Analytics, Product, and ML Platform teams to understand requirements, define priorities, and align on deliverables that accelerate innovation and business impact.
Ensure Engineering Rigor: Champion software development best practices including version control, testing, documentation, CI/CD, and AI initiatives to ensure reproducible and maintainable data systems.
Contribute to Technical Strategy: Help shape the roadmap for WHOOP data engineering and data platform teams, balancing long-term vision with short-term execution.
Evaluate emerging technologies and practices aligned with AI initiatives that improve performance, observability, and developer experience.
Support Cross-Team Integration: Ensure smooth data flow across internal systems, from ingestion and transformation to downstream consumption by AI, analytics, and product teams.