Senior Data Engineer
Cox Automotive is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms powering products across brands like Autotrader, Kelley Blue Book, and Manheim. You will architect batch and real-time pipelines, model and transform large datasets, and ensure reliability, quality, and performance for analytics and machine learning use cases. Partner with cross-functional teams to deliver secure, compliant solutions that support automotive retail and mobility. Join a people-first, inclusive culture that values innovation, growth, and community impact.
Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines
- Develop robust data models to support analytics and machine learning workloads
- Optimize data systems for performance, reliability, security, and cost efficiency
- Implement data quality, lineage, and monitoring capabilities
- Collaborate with data scientists, analysts, and product teams to deliver data solutions
- Ensure compliance with security, privacy, and governance standards
- Automate deployment and operations using CI/CD and infrastructure-as-code practices
- Troubleshoot and resolve production data pipeline and platform issues
- Contribute to technical standards, best practices, and documentation
- Mentor junior engineers and support a culture of continuous improvement
Required Skills
- Data engineering
- ETL/ELT development
- Data modeling
- SQLPython or Scala
- Cloud data platforms (e.g., AWS, GCP, Azure)
- Stream processing (e.g., Kafka, Spark Streaming)
- Data warehousing (e.g., Snowflake, Redshift, Big
- Query)
- CI/CD and data pipeline automation
- Data quality and monitoring
$145k - $165k
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