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Full time
Technology
CA

Senior Data Engineer

Cox AutomotiveBuda, Texas🇺🇸United StatesPosted 12 Sept 2026

Why This Role Stands Out

This hybrid Senior Data Engineer role at Cox Automotive offers an exciting opportunity to shape data platforms for well-known brands, fostering significant career growth and skill development in cloud technologies. You'll thrive here if you're a collaborative problem-solver passionate about building robust, scalable data solutions and driving innovation in a dynamic environment. Apply to contribute to impactful projects and advance your expertise in a leading automotive technology company.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Buda, Texas, United States
ETLData PipelineKafka

Job Description

Cox Automotive is seeking a Senior Data Engineer to design and optimize large-scale data platforms powering products across brands like Autotrader, Kelley Blue Book, and Manheim. You will build robust data pipelines, streaming solutions, and analytics-ready datasets on cloud infrastructure to support advanced insights for dealers and consumers. Partner with data scientists, product, and engineering teams to ensure high data quality, reliability, and performance while championing best practices in data modeling, governance, observability, and automation in a modern, collaborative environment.

Responsibilities

  • Design, build, and maintain scalable batch and streaming data pipelines
  • Develop and optimize data models and warehouses for analytics and reporting
  • Implement data quality, validation, and monitoring frameworks
  • Collaborate with data scientists, analysts, and product teams to deliver data solutions
  • Optimize performance, reliability, and cost of cloud data platforms
  • Ensure adherence to data governance, security, and compliance standards
  • Automate deployment, testing, and operations using modern Dev
  • Ops practices
  • Troubleshoot complex data issues and drive root-cause analysis

Required Skills

  • Data pipeline development
  • ETL/ELTSQLPython
  • Cloud data platforms
  • Distributed data processing
  • Data modeling
  • Streaming data (Kafka or similar)
  • Data warehousing
  • Data governance

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