Data Engineer
Core
Build, optimize, and maintain robust data pipelines powering real-time analytics, AI/ML initiatives, and enterprise reporting for automotive dealerships.
Role type
Senior IC data engineer (cloud & streaming)
Builds
Scalable data ecosystems, real-time ingestion pipelines, ML-ready datasets, and feature stores
Domain
Automotive retail / Cloud data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, AWS ecosystem, Snowflake or Databricks, Kafka or Kinesis, Medallion Architecture, Dimensional Modeling, automated data validation
Preferred skills
AWS Glue, Step Functions, Debezium, Fivetran, Snowflake Cortex, Databricks AI, AWS Bedrock
Technologies
AWS, Snowflake, Databricks, Kafka, Kinesis, S3, Delta, Iceberg, Parquet
Responsibilities
Build and maintain complex data pipelines using AWS Glue, Step Functions, or Databricks Workflows; Develop and deploy real-time ingestion pipelines using AWS Kinesis or Kafka; Own end-to-end data validation and QA by building automated data quality checks; Engineer ML-ready datasets and manage Feature Stores; Collaborate with Product and ML teams to translate architectural designs into functional code
Seniority
Senior, hands-on IC
