WHOOP

About WHOOP

Unlocking human performance through health tracking

🏢 Tech👥 1001+ employees📅 Founded 2012📍 West Fens, Boston, MA💰 $404.8m3.3
B2CPersonal healthFitnessData AnalysiseCommerce

Key Highlights

  • Headquartered in West Fens, Boston, MA
  • Over 1,000 employees and $404.8 million in funding
  • Unique subscription model for ongoing health data access
  • Holistic health tracking including sleep and recovery metrics

WHOOP is a leading provider of wearable health and fitness devices, headquartered in West Fens, Boston, MA. With over 1,000 employees and $404.8 million in funding from investors like Accel and NextView Ventures, WHOOP focuses on optimizing human performance through continuous monitoring of recovery...

🎁 Benefits

WHOOP offers a flexible vacation policy, 18 weeks of paid parental leave, and a $500 annual wellness stipend. Employees also receive stock options, a ...

🌟 Culture

WHOOP fosters a culture centered around health optimization and data-driven insights. Their holistic approach to performance tracking, including metri...

WHOOP

Data Engineer Mid-Level

WHOOPBoston

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Skills & Technologies

Overview

WHOOP is hiring a Data Engineer II to design and optimize scalable data pipelines and platforms. You'll work with AWS, Snowflake, and Kafka to enhance data-driven insights. This position requires experience in building data systems at scale.

Job Description

Who you are

You have a strong background in data engineering with experience in building and optimizing data systems at scale — you've designed and implemented data pipelines that support analytical and operational capabilities. Your expertise in modern AWS infrastructure allows you to leverage cloud technologies effectively, ensuring reliability and performance in data processing.

You thrive on innovation and take ownership of your projects — you enjoy collaborating with cross-functional teams to influence technical direction and improve data architectures. Your experience with tools like Snowflake and dbt demonstrates your ability to work with modern data warehousing solutions, while your familiarity with Kafka and Spark showcases your skills in handling real-time data processing.

You are excited about using AI to enhance developer productivity and drive meaningful impact — you understand the importance of data in decision-making and are passionate about unlocking human performance through data insights. Your problem-solving skills and attention to detail enable you to tackle complex data challenges effectively.

What you'll do

In this role, you will design, build, and optimize scalable data pipelines that power WHOOP's data-driven insights — you will play a key role in shaping robust ELT architectures that improve data reliability and performance. You will collaborate closely with data scientists and analysts to ensure that the data infrastructure meets their needs and supports the company's mission.

You will influence the technical direction of the data platform, working with modern AWS infrastructure and tools to enhance WHOOP's analytical capabilities — your contributions will directly impact how data is utilized across the organization. You will also be responsible for monitoring and maintaining data systems, ensuring they operate efficiently and effectively.

You will have the opportunity to work on innovative projects that leverage AI and machine learning to improve data processing and analysis — your insights will help drive strategic decisions and enhance the overall performance of WHOOP's offerings. You will also mentor junior team members, sharing your knowledge and expertise to foster a collaborative and growth-oriented environment.

What we offer

At WHOOP, we are committed to unlocking human performance and empowering our members — you will be part of a mission-driven team that values innovation and collaboration. We offer competitive compensation and benefits, along with opportunities for professional development and growth within the company. Join us in making a meaningful impact through data and technology.

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