Data Engineer II

WHOOP

Data Engineer II

Reposted 6 Hours Ago

Easy Apply

Boston MA USA

Hybrid

125K-175K Annually

Mid level

Fitness • Hardware • Healthtech • Sports • Wearables

Power your performance with 24/7 data

The Role

Design and optimize scalable ELT data pipelines using Python and Spark collaborate on data solutions and leverage AI tools to enhance development efficiency.

Summary Generated by Built In

At WHOOP we are 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.

WHOOP is seeking an experienced Data Engineer who thrives on innovation and takes ownership of building and evolving data systems at scale. In this role you will design build and optimize scalable data pipelines and platforms that power our data driven insights. You will play a key role in shaping robust ELT architectures improving reliability and performance and influencing technical direction across the data platform. With a strong focus on modern AWS infrastructure and tooling such as Snowflake DBT Kafka and Spark you will help elevate our analytical and operational capabilities. If you are excited about using AI to improve developer productivity and drive meaningful impact we want you to join our team.

RESPONSIBILITIES:

Design build and operate scalable ELT pipelines using Python and PySpark with a focus on reliability performance and maintainability
Own and improve batch and streaming data systems using Spark and Kafka including monitoring and resolving production data issues
Develop and optimize Snowflake data models and DBT transformations to support analytics experimentation and trusted metrics
Partner with data scientists analysts and product teams to translate business requirements into well-designed data solutions
Contribute to the evolution of the data platform by improving observability data quality and engineering best practices
Leverage AI tools to accelerate development improve code quality and automate repetitive data engineering workflows

QUALIFICATIONS:

Bachelor’s degree in Computer Science Engineering or a related field or equivalent practical experience
3-5 years of professional experience building and operating ETL/ELT pipelines in production environments
Strong proficiency in SQL and hands-on experience with modern data warehousing concepts and dimensional modeling
Professional experience using Python for data engineering including writing clean testable and reusable code
Experience with DBT for data modeling testing and documentation is preferred
Experience with Spark and Kafka for batch or streaming data processing is preferred
Strong problem-solving skills clear communication and the ability to work independently while collaborating in an agile environment
Comfort using AI tools such as Copilot or ChatGPT to improve efficiency throughout the software development lifecycle

This role is based in the WHOOP office located in Boston MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston MA office.

Interested in the role but don’t meet every qualification? We encourage you to still apply! At WHOOP we believe there is much more to a candidate than what is written on paper and we value character as much as experience. As we continue to build a diverse and inclusive environment we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibilityThe WHOOP compensation philosophy is designed to attract motivate and retain exceptional talent by offering competitive base salaries meaningful equity and consistent pay practices that reflect our mission and core values.

At WHOOP we view total compensation as the combination of base salary equity and benefits with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.

The U.S. base salary range for this full-time position is $125000 - $175000. Salary ranges are determined by role level and location. Within each range individual pay is based on factors such as job-related skills experience performance and relevant education or training. In addition to the base salary the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range total compensation will depend on the candidate’s specific qualifications expertise and alignment with the role’s requirements.

Skills Required

Bachelor's degree in Computer Science Engineering or a related field or equivalent practical experience
3-5 years of professional experience building and operating ETL/ELT pipelines in production environments
Strong proficiency in SQL and hands-on experience with modern data warehousing concepts and dimensional modeling
Professional experience using Python for data engineering including writing clean testable and reusable code
Experience with DBT for data modeling testing and documentation
Experience with Spark and Kafka for batch or streaming data processing
Strong problem-solving skills clear communication and ability to work independently in an agile environment
Comfort using AI tools such as Copilot or ChatGPT

What the Team is Saying

WHOOP Compensation & Benefits Highlights

Parental & Family Support—Policies include 18 weeks of paid parental leave plus two additional weeks to support return-to-work. Feedback suggests this depth of leave is a standout element of the package.
Wellbeing & Lifestyle Benefits—Offerings span medical/dental/vision mental-health support a $500 wellness stipend daily meals onsite gym/recovery tools commuter benefits and free WHOOP memberships. These wellness-forward perks collectively signal strong everyday support for employees’ health and lifestyle.
Equity Value & Accessibility—Stock options are granted at hire and ownership is emphasized as part of total rewards. Feedback suggests this equity component is valued alongside cash compensation.

Learn more about WHOOP's Compensation & Benefits →

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The Company

HQ: Boston MA

500 Employees

Year Founded: 2012

What We Do

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. Our wearable device and performance optimization platform has been adopted by many of the world's greatest athletes and consumers alike.

Why Work With Us

At WHOOP we’re focused on building an inclusive and equitable team with a strong sense of belonging for everyone—increasing representation in every way as our team grows. We believe that our differences are our source of strength—so much so it’s one of our core values. 