Whoop
Senior Data Engineer
Boston, MA · Senior · Full-time
Sponsorship not specified$150k-$215kDetected 29 days ago
PythonCode ReviewSQLSnowflakePlatform EngineeringKafkaMachine LearningSparkdbtData EngineeringData ScienceA/B TestingCommunicationMentoring
Stay score
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 raise the technical bar through mentorship, thoughtful engineering practices, and a commitment to continuously improving how Data Engineering operates.
- Interested in the role, but don't meet every qualification?
- The U.S. base salary range for this full-time position is $150,000 - $215,000.
Responsibilities
- Lead the design, implementation, and long-term ownership of scalable ELT pipelines and data workflows using Python, PySpark, SQL, and modern cloud technologies.
- Own complex cross-functional data initiatives, translating ambiguous business requirements into maintainable technical solutions while proactively identifying risks, dependencies, and tradeoffs.
- Partner closely with Product, Engineering, Analytics, Data Science, and the Data Platform Engineering team to ensure data systems are reliable, scalable, and aligned with evolving business needs.
- Drive improvements in data quality, observability, testing, documentation, and operational excellence, establishing patterns and best practices that improve the effectiveness of the broader team.
- Mentor Data Engineers through design discussions, code reviews, and technical coaching while contributing meaningfully to hiring, onboarding, and interview processes.
- WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
- In this role, you will own complex data engineering initiatives from design through production, partnering closely with Data Science, Analytics, Product, and Engineering teams to build reliable, scalable, and well-governed data solutions.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong proficiency with Python, SQL, and modern ELT development practices, with experience building maintainable, testable, and observable data pipelines.
- Experience designing and optimizing data warehouse solutions in Snowflake or comparable cloud data platforms.
- Experience working with distributed data processing technologies such as Spark, Kafka, or equivalent modern data processing frameworks.
- Experience mentoring engineers, providing thoughtful technical feedback, and helping raise engineering quality across a team.
- 5+ years of professional experience designing, building, and operating production data engineering systems.
- Experience building and maintaining data transformation frameworks using dbt or similar tooling.
- Demonstrated ability to independently lead complex technical initiatives involving multiple stakeholders from planning through production support.
- Strong communication skills with the ability to explain technical concepts, navigate tradeoffs, and build alignment across engineering and business stakeholders.
- 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.
- 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 https://www.e-verify.gov/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 $150,000 - $215,000. 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.
Compensation
- The U.S. base salary range for this full-time position is $150,000 - $215,000.
Benefits
- Design and optimize data models and Snowflake architectures that enable reliable, performant, and trusted data consumption across analytics, experimentation, and machine learning use cases.
- WHOOP is hiring a Senior Data Engineer to lead the design, development, and evolution of the data systems that power analytics, experimentation, machine learning, and business decision-making across the company.
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.