Entry Level Data Engineer

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
• Required Skills and Qualifications
• 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
• Preferred Skills and Qualifications
• 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
• Drug Testing

Benefits

Additional Information

Company Cox Automotive - USA Job Family Group Engineering / Product Development Job Profile Data Engineer I Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day

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