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