Whoop
Senior Data Product Engineer
Boston, MA · Senior · Full-time
Sponsorship not specified$150k-$215kDetected 26 days ago
Data StructuresSQLSnowflakeMachine LearningdbtData EngineeringData ScienceA/B TestingLeadershipCommunicationMentoring
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odds of building a lasting career here
55Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role66
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- As a senior member of the team, you'll help establish modern data product practices while mentoring others and raising the bar for engineering quality across the organization.
- This role is based in the WHOOP office located in Boston, MA.
- Interested in the role, but don't meet every qualification?
Responsibilities
- Develop scalable dimensional models, semantic layers, and dbt transformations that create consistent business logic and trusted metrics across WHOOP.
- Partner closely with Product, Analytics, Data Science, and Engineering teams to understand business needs, translate ambiguous requirements into well-designed data products, and ensure those products evolve alongside the business.
- Collaborate with Data Engineers and Data Platform Engineers to improve upstream data quality, influence data contracts, and ensure reliable delivery of business-critical datasets.
- Drive adoption of reusable data products and self-service analytics capabilities, reducing duplication of business logic and enabling teams to move faster with confidence.
- Mentor engineers and analysts on modern data modeling techniques, engineering best practices, and data product thinking through technical leadership, design reviews, and collaborative problem solving.
- WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
- WHOOP is hiring a Senior Data Products Engineer to build trusted, reusable data products that power decision-making across the company.
- You will partner closely with Product, Analytics, Data Science, Engineering, and business stakeholders to ensure WHOOP has a consistent, trusted foundation for understanding its data.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or a related technical field, or equivalent practical experience.
- 5+ years of experience designing and building production data solutions with a strong emphasis on analytics engineering, data modeling, or data product development.
- Strong understanding of semantic modeling, metric design, and data governance principles, with experience creating trusted business-facing datasets.
- The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
- Expert-level SQL skills and extensive experience designing dimensional models and analytical data structures that balance usability, performance, and maintainability.
- Professional experience building data transformation frameworks using dbt or similar modern data transformation tools.
- Experience working with modern cloud data warehouses such as Snowflake and partnering with data engineering teams to build scalable analytical solutions.
- Demonstrated ability to lead complex cross-functional initiatives, balancing technical excellence with business outcomes and stakeholder needs.
- Experience mentoring engineers and influencing technical standards through design reviews, documentation, and collaborative leadership.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences and build alignment across diverse stakeholder groups.
- Passion for treating data as a product, with a strong focus on usability, quality, discoverability, and long-term maintainability.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
- 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.
Compensation
- The 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.
Benefits
- Design, build, and own business-critical data products, transforming raw operational data into trusted, reusable datasets that enable analytics, experimentation, and machine learning.
Company info
- At WHOOP, we're on a mission to unlock human performance and healthspan.
- 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.
This listing is sourced directly from Whoop's careers page and normalized into a canonical job model.