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Mid LevelFull-timePythonRustAWSAgileAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
WHOOP is seeking an experienced Data Engineer to join their team and help build and evolve data systems at scale. This role focuses on designing, building, and optimizing scalable data pipelines and platforms that power data-driven insights.
Key Responsibilities
- →Design, build, and operate scalable ELT pipelines using Python and PySpark
- →Own and improve batch and streaming data systems using Spark and Kafka
- →Develop and optimize Snowflake data models and DBT transformations
- →Partner with data scientists, analysts, and product teams to translate business requirements into data solutions
- →Contribute to the evolution of the data platform by improving observability, data quality, and engineering best practices
- →Leverage AI tools to accelerate development and automate data engineering workflows
Requirements
- ✓Bachelor’s degree in Computer Science, Engineering, or related field
- ✓3-5 years of experience building and operating ETL/ELT pipelines
- ✓Strong proficiency in SQL and modern data warehousing concepts
- ✓Professional experience using Python for data engineering
- ✓Experience with DBT, Spark, and Kafka preferred
- ✓Strong problem-solving skills and clear communication
- ✓Comfort using AI tools to improve efficiency
Benefits
- ★Competitive base salary and equity package
