Senior Feature Engineer
Core
Design, develop, and operate a governed feature platform and shared infrastructure to translate raw data into reliable, production-grade features for advanced analytics and ML solutions.
Role type
Senior Feature Engineer (Data & ML Infrastructure)
Builds
Scalable feature pipelines, feature stores, and platform tooling for data scientists and ML engineers.
Domain
Automotive data engineering and machine learning infrastructure.
Deliverable
production ML models
Required skills
Python, SQL, Apache Spark, Databricks, CI/CD pipelines, data quality management, Git, distributed data processing
Preferred skills
Vehicle telematics, battery health data, embedded systems, real-time data streaming (Kafka, Delta LIVE Tables)
Technologies
Databricks, Delta Lake, Unity Catalog, Kafka, PySpark, Spark SQL
Responsibilities
Design and maintain scalable feature engineering pipelines; build feature transformation logic; operate feature pipelines within Databricks; establish and maintain a feature store; implement CI/CD pipelines for feature code; define and enforce data quality checks; optimize Spark/Databricks jobs for performance and cost; document feature definitions and lineage; monitor production pipelines and resolve failures.
Seniority
Senior, hands-on IC
