Data Engineer I

Cox Automotive is the market-leading provider of technology services to the automotive industry. They are seeking a Data Engineer I to design high-performance queries, work with diverse data sources, and drive data solutions while collaborating with data delivery teams.

Responsibilities

• Collaborate with Product and Engineering to understand data needs and deliver high-quality data solutions
• Develop and manage scalable data pipelines and architectures
• Engage with your agile delivery team to build a culture of passion, trust, and creativity
• Learn and leverage the automotive digital marketing domain to change how the world buys, sells, and uses cars

Skills

• Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future
• Required BA/BS or higher degree in a related discipline with a focus in Data Engineering or Software Engineering
• 1 to 3 years of related professional work experience in Data Engineering
• MUST live within a commutable distance to Cox Automotive's Austin TX office and work in a hybrid-onsite setting
• Experience with cloud-based application development, support and DevOps (ideally AWS)
• Object-oriented design experience, including applied use of design patterns
• Experience with programming languages such as Python
• Ability to work independently, to design, develop, and deploy solutions, and to deliver projects on time with moderate direction
• Ability to collaborate with other developers to build the best solution for the customer
• Database development skills, including using database technologies and logical and physical data modeling
• Please include links to any side projects you've worked on in your Github profile
• Exposure to AI/ML workflows and data preparation for model training
• Experience with AI-assisted development tools (e.g., GitHub Copilot)
• Familiarity with vector databases, LLM integration, or prompt engineering
• Understanding of MLOps practices and cloud-based AI infrastructure
• Commitment to ethical AI practices and data governance

Benefits

• The flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations
• Seven paid holidays throughout the calendar year
• Up to 160 hours of paid wellness annually for their own wellness or that of family members
• Additional paid time off in the form of bereavement leave
• Time off to vote
• Jury duty leave
• Volunteer time off
• Military leave
• Parental leave

Company Overview