# Senior Data Platform Engineer

**Company:** [WHOOP](https://hotfix.jobs/companies/whoop)
**Location:** Boston, MA
**Role:** Data Engineering
**Experience:** 5+ years
**Skills:** Python, SQL, Snowflake, AWS, S3, EKS, Emr, EC2, Airflow, Prefect, Iceberg, CI/CD, Infrastructure As Code, DevOps
**Posted:** 2026-05-06

> Builds and operates scalable data platform infrastructure including lakehouse, Snowflake, and AWS services. Partners with data and ML teams to enable analytics and innovation, leveraging Python, SQL, orchestration tools, and AI-assisted development.

## Job Description

## Responsibilities
- Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems.
- Improve the performance, reliability, and cost efficiency of our data systems, including **Iceberg**, **Snowflake**, and **AWS**-based data infrastructure.
- Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists.
- Lead platform engineering best practices across **CI/CD**, **infrastructure as code**, testing, deployments, and operational readiness.
- Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems.
- Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows.
- Drive best practices for data architecture, pipeline design, governance, and platform usage across the company.
- Leverage **AI tools** to accelerate development, improve code quality, and enhance debugging and documentation workflows.

## Qualifications
- 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 nice to have.
- Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments.
- Hands-on experience with **Snowflake** and modern cloud data infrastructure.
- Experience with **AWS** services such as **S3**, **EKS**, **EMR**, **EC2**, or related cloud-native infrastructure.
- Experience with orchestration frameworks such as **Airflow** or **Prefect**.
- Strong understanding of **CI/CD**, **infrastructure as code**, and **DevOps** practices for data platforms.
- Ability to independently drive technical projects and own systems end to end with a high degree of autonomy.
- Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams.
- Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality.

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