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Data Engineer

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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.

WHOOP is seeking a dynamic Data Engineer who thrives on innovation and is ready to revolutionize our data operations. In this role, you'll design, build, and optimize scalable data pipelines and platforms that serve as the backbone of our data-driven insights. With a strong focus on crafting robust ETL/ELT processes and managing cutting-edge AWS infrastructure, you'll integrate modern data tools—including Snowflake, DBT, Kafka, and Spark—to elevate our analytical capabilities. If you're excited about harnessing AI to supercharge efficiency and drive breakthrough innovations, we want you to join our forward-thinking team and make a tangible impact on the future of our data ecosystem.

RESPONSIBILITIES:

Write and maintain high-quality, reusable code in Python and Pyspark to develop and maintain ELTs and data pipelines.
Utilize Kafka and Spark for real-time streaming and batch data processing.
Implement and optimize data warehousing solutions using Snowflake.
Create and manage transformation models with DBT to ensure consistent data quality and agile analytics.
Architect and manage AWS infrastructure (e.g., EC2, S3, Lambda, RDS) to support scalable and secure data processing.
Leverage AI tools to automate tasks, optimize workflows, and drive overall efficiency.
Collaborate with cross-functional teams (data scientists, analysts, etc.) to understand and meet evolving data needs.
Document processes and continuously seek improvements in the data platform.

QUALIFICATIONS:

Bachelor’s degree in Computer Science, Engineering, or a related field; or equivalent practical experience.
Experience designing and implementing ETL/ELT processes.
Solid understanding of SQL and modern data warehousing concepts.
Familiarity with AI tools like Copilot / ChatGPT and their use on driving efficiency in the software development life cycle.
Proficiency using DBT for data modeling and transformation is a plus.
Hands-on experience with Kafka and Spark for data processing is a plus.
Knowledge of containerization, orchestration (e.g., Docker, Kubernetes), and infrastructure-as-code is a plus.
Excellent problem-solving skills, strong communication abilities, and the capacity to work collaboratively in an agile environment.

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 eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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CEO of WHOOP

Will Ahmed

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Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

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What You Should Know About Data Engineer, WHOOP

At WHOOP, we're excited to invite a passionate Data Engineer to join our innovative team based in Boston, MA. Our mission is to unlock human performance, helping our members reach their peak potential through insightful data analytics. As a Data Engineer, you'll be at the heart of our data ecosystem, designing and optimizing scalable data pipelines that empower us to harness the full power of our cutting-edge data tools like Snowflake, DBT, Kafka, and Spark. Your role involves crafting robust ETL/ELT processes and managing a modern AWS infrastructure, ensuring our data-driven insights are not just actionable, but revolutionary. With your expertise in Python and Pyspark, you’ll write reusable code to maintain ELTs, perform real-time data streaming, and implement top-notch data warehousing solutions. Your collaboration with cross-functional teams will be key in understanding and fulfilling evolving data needs. If you're eager to leverage AI technologies to enhance efficiency and foster innovation, this is the perfect opportunity for you to make a significant impact on the future of WHOOP’s data operations. We believe in the value of character as much as experience, encouraging all dynamic candidates to apply, even if you don't meet every single qualification. Join us at WHOOP, where your contributions can help shape the future of performance optimization!

Frequently Asked Questions (FAQs) for Data Engineer Role at WHOOP

What are the responsibilities of a Data Engineer at WHOOP?

The responsibilities of a Data Engineer at WHOOP include designing and maintaining scalable data pipelines, managing AWS infrastructure, creating ETL processes, and ensuring high data quality using tools like Snowflake and DBT. You will also collaborate with data scientists and analysts to address evolving data needs.