Entry Level Data Engineer

Cox Automotive is seeking a motivated Data Engineer I to join their Data & Analytics team. This entry-level role is ideal for recent graduates or early-career professionals eager to build, maintain, and improve data solutions that impact all of Cox Automotive.

Responsibilities

• Collaborate with data architects, data analysts, visualization developers, other data engineers, and business stakeholders to build and maintain data assets in a cloud-computing environment
• Learn and apply techniques to improve data dependability and quality, and reduce manual effort through automation
• Help investigate, communicate, and resolve data integrity issues that may impact business performance
• Assist in developing and maintaining data assets by analyzing data from internal and external sources and making newly created data assets available across Cox Automotive
• Participate in team activities within an Agile environment, including design discussions, code reviews, implementation, delivery estimates, and production support
• Ensure data follows all information privacy and protection policies
• Use AI-powered coding assistants such as GitHub Copilot and Claude Code daily to accelerate development, improve code quality, and streamline peer review workflows
• Apply spec-driven development practices, using AI tools to translate specifications into well-structured, testable code
• Gain exposure to cloud-native AI Services (e.g., Snowflake Cortex, AWS Bedrock/AgentCore) and contribute to efforts that enhance data pipelines and enable intelligent data processing
• Follow responsible AI practices within the team, including prompt engineering, AI output validation, and governance of AI-generated code

Skills

• Bachelor's degree in computer science, information systems, statistics, or a related analytical field
• Up to one year of professional, contract, or internship experience in data engineering (new graduates welcome)
• Solid SQL skills with an understanding of relational database concepts and the ability to write and troubleshoot queries
• Foundational Python programming skills, whether gained through coursework, personal projects, or early professional experience
• Demonstrated experience using AI-powered developer tools (e.g., GitHub Copilot, Claude Code, ChatGPT, or similar) for code generation, completion, or review in any setting—full-time role, internship, or college coursework
• Familiarity with cloud-computing concepts; exposure to Snowflake and/or AWS environments is a plus
• General awareness of data platform and data warehouse concepts
• Strong critical thinking, analytical, and problem-solving skills
• Eagerness to learn from and be mentored by a collaborative, experienced engineering team
• Ability to work both independently and as part of a team in a fast-paced environment
• Exposure to or interest in spec-driven development workflows where AI tools are used to translate requirements into code
• Familiarity with Snowflake Cortex for AI-powered data enrichment, text analytics, or anomaly detection
• Awareness of AWS Bedrock, AWS AgentCore, or other cloud-based AI services
• Entry-level cloud or data certifications such as AWS Cloud Practitioner, Snowflake SnowPro Core, or equivalent
• Any AI-related certifications from Snowflake, AWS, or other recognized providers
• Experience with version control systems (e.g., Git/GitHub) and CI/CD fundamentals
• Experience working in or familiarity with Agile/Scrum methodologies

Benefits

• Hybrid - Ability to work remotely part of the week
• The Company offers eligible employees 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
• Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave
• Health care insurance (medical, dental, vision)
• Retirement planning (401(k))
• Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)

Company Overview