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Full time
Technology
CA

Senior Data Engineer

Cox AutomotiveAustin, Texas🇺🇸United StatesPosted 12 Sept 2026

Why This Role Stands Out

This hybrid Senior Data Engineer role at Cox Automotive offers you the chance to architect innovative cloud-based data platforms and build scalable pipelines that drive insights for leading automotive brands, providing excellent opportunities for skills development. You'll thrive here if you're a collaborative engineer passionate about data quality and performance, eager to contribute to a dynamic technology team. This is an exciting opportunity to make a significant impact and grow your career.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Austin, Texas, United States
GCPScalaAWSETLMachine LearningAzureData PipelineGitKafka

Job Description

Cox Automotive is seeking a Senior Data Engineer to design and build scalable data pipelines powering products across brands like Autotrader and Kelley Blue Book. You will architect cloud-based data platforms, optimize data models for analytics and machine learning, and ensure data quality, reliability, and security in a high-volume telecommunications and media environment. Partner with data scientists, product, and engineering teams to deliver performant, well-documented solutions that support real-time insights, experimentation, and reporting for global automotive customers.

Responsibilities

  • Design, build, and maintain scalable batch and streaming data pipelines
  • Architect and optimize cloud-based data platforms and warehouses
  • Develop reliable ETL/ELT processes and data models for analytics and MLEnsure data quality, governance, security, and documentation
  • Collaborate with data scientists, analysts, and engineers on data solutions
  • Monitor, troubleshoot, and improve pipeline performance and reliability
  • Implement best practices for testing, CI/CD, and version control in data projects

Required Skills

  • Data pipeline development
  • Cloud data platforms (AWS/Azure/GCP)
  • SQLPython or Scala
  • ETL/ELT tools
  • Data warehousing
  • Data modeling
  • Streaming data (Kafka/Kinesis)
  • Version control (Git)
  • CI/CD for data

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