Senior Data Engineer: Scalable ELT & AI Insights

Whoop; Boston (MA); On-site; USD 150,000 - 215,000; Full time

Job summary

WHOOP is seeking a Senior Data Engineer to lead design, development, and evolution of data systems powering analytics, experimentation, ML, and business decisions. You will own complex ELT pipelines and data workflows, partnering with Data Science, Analytics, Product, and Engineering to build scalable, well-governed data solutions.

You will mentor engineers, raise engineering standards, and drive data quality, observability, and automation across the data platform.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional experience designing, building, and operating production data engineering systems.
• 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 building and maintaining data transformation frameworks using dbt or similar tooling.
• Experience working with distributed data processing technologies such as Spark, Kafka, or equivalent modern data processing frameworks.
• Demonstrated ability to independently lead complex technical initiatives involving multiple stakeholders from planning through production support.
• Experience mentoring engineers, providing thoughtful technical feedback, and helping raise engineering quality across a team.
• 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.

Responsibilities

• Lead the design, implementation, and long-term ownership of scalable ELT pipelines and data workflows using Python, PySpark, SQL, and modern cloud technologies.
• Design and optimize data models and Snowflake architectures that enable reliable, performant, and trusted data consumption across analytics, experimentation, and ML use cases.
• Own complex cross-functional data initiatives, translating ambiguous business requirements into maintainable technical solutions while proactively identifying risks, dependencies, and tradeoffs.
• Partner with Product, Engineering, Analytics, Data Science, and Data Platform Engineering 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 for the broader team.
• Mentor Data Engineers through design discussions, code reviews, and technical coaching while contributing to hiring, onboarding, and interview processes.

Skills

Python

SQL

ELT development

Data pipelines

Mentoring

Communication

AI tools

Education

Bachelor's degree in CS or related

Tools

Snowflake

dbt

Spark

Kafka

Job description

WHOOP is seeking a Senior Data Engineer to lead design, development, and evolution of data systems powering analytics, experimentation, ML, and business decisions. You will own complex ELT pipelines and data workflows, partnering with Data Science, Analytics, Product, and Engineering to build scalable, well-governed data solutions.

You will mentor engineers, raise engineering standards, and drive data quality, observability, and automation across the data platform.