Data Engineer

Job Summary

Building robust data infrastructure, the full-time remote Data Engineer will manage tracking, processing, and ML infrastructure while enabling self-service capabilities for engineers and subject matter experts.

Key Responsibilities

• Develop and maintain tracking infrastructure for product analytics and experimentation, ensuring data quality from the source
• Implement data processing frameworks, including automated schema evolution and monitoring for freshness and volume
• Design and oversee ML infrastructure for feature computation, model training, and integration with product systems

Required Qualifications

• Experience building internal platforms that are widely adopted by engineering teams
• Proven ability to operate and troubleshoot production data or ML systems under pressure
• Strong proficiency in Python and SQL, with familiarity in lakehouse environments like Databricks
• Experience designing and evolving interfaces and schemas that support other teams
• Understanding of testing and CI processes for data or ML systems, particularly in statistical correctness