Empowering people today to build a better future for the next generation.
The Role
Entry-level Data Engineer responsible for building and maintaining cloud-based data assets and pipelines, improving data quality and automation, investigating data integrity issues, and collaborating with architects, analysts, and stakeholders. Uses SQL and Python, participates in Agile practices, leverages AI-powered developer tools for spec-driven development, and follows responsible AI and data privacy practices.
Summary Generated by Built In
Enterprise Platforms - Data & Analytics, Data Engineer I
Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates or early-career professionals who are eager to build, maintain, and improve data solutions that impact all of Cox Automotive. You will work alongside experienced engineers who will mentor you as you grow your skills in data pipeline development, data discovery, definition alignment, mapping, profiling, and auditing. A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you should already be using tools like Claude Code, GitHub Copilot, or similar AI assistants to write, review, and ship code faster.
Responsibilities
Required Skills and Qualifications
Preferred Skills and Qualifications
USD 67,100.00 - 100,700.00 per year
Compensation:
Compensation includes a base salary in the range of $67,100.00 - $100,700.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
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; and 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.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets
Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates or early-career professionals who are eager to build, maintain, and improve data solutions that impact all of Cox Automotive. You will work alongside experienced engineers who will mentor you as you grow your skills in data pipeline development, data discovery, definition alignment, mapping, profiling, and auditing. A key differentiator for this role is hands-on comfort with AI-powered engineering tools; you should already be using tools like Claude Code, GitHub Copilot, or similar AI assistants to write, review, and ship code faster.
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
USD 67,100.00 - 100,700.00 per year
Compensation:
Compensation includes a base salary in the range of $67,100.00 - $100,700.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
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; and 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.
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
EOE, including disability/vets
Skills Required
- 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 understanding of relational database concepts and ability to write and troubleshoot queries
- Foundational Python programming skills
- Demonstrated experience using AI-powered developer tools (e.g., GitHub Copilot, Claude Code, ChatGPT) for code generation, completion, or review
- Familiarity with cloud-computing concepts
- Exposure to Snowflake and/or AWS environments
- 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
- Experience with version control systems (e.g., Git/GitHub) and CI/CD fundamentals
- Entry-level cloud or data certifications such as AWS Cloud Practitioner or Snowflake SnowPro Core
- Authorization to work in the United States for any employer without current or future sponsorship
What the Team is Saying
Belinda
Manager of Network Automation
Tonya
Director of Agile Delivery
Chris
Manager of Engineering Support & Delivery
John Chapman
National Client Sales Director, Cox Automotive
Kib Yahyehyrab
Audit Analysis, Cox Enterprises
Jenny Arias
Marketing & Events Assistant, Cox Farms
Cox Enterprises Compensation & Benefits Highlights
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Retirement Support — The 401(k) includes a dollar-for-dollar match up to 6% of pay plus an additional fixed 2% company contribution with immediate vesting and auto-enrollment via Vanguard. Legacy cohorts may have different retirement arrangements, but the enhanced match is emphasized as a current standard.
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Healthcare Strength — Multiple medical options (Core PPO, Premium PPO, HDHP + HSA) and Kaiser in CA are available, with in-network preventive care covered at 100% and openly published 2026 plan details and premiums. The program lineup extends to pharmacy, dental, vision, telehealth, and condition-specific supports.
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Parental & Family Support — Eight weeks of paid parental leave, fertility coverage via Progyny, adoption assistance, and childcare/backup care resources complement flexible PTO and paid time off for voting, volunteering, and jury duty. These benefits are positioned to support employees across family life stages.
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The Company
What We Do
For well over a century, Cox Enterprises has been shaping the future with daring ideas and values-driven thinking. Since our founding in 1898, our relentless spirit of innovation has driven us to disrupt industries and enhance the quality of life in the communities we serve. Through our major divisions — Cox Communications, Cox Automotive and Cox Farms — our people have countless opportunities to grow and make an impact in the communications and automotive industries, as well as in new ventures in agriculture, cleantech, digital media and more. As a privately-held, family-owned business, we know that people are our most valuable asset. We offer a supportive and inclusive environment with flexible career growth, amazing benefits and work-life balance at the forefront. Our mission, our ways of working and our commitment to people are what make our workplace culture remarkably flexible and resilient. Join us to build a better future and make your mark.
Why Work With Us
At our core, Cox is a technology company that values human relationships. We know people feel most empowered when their work has meaning, when they feel respected and have opportunities to grow. “Career satisfaction” is not enough at Cox — we’re here to help you find balance, live well and achieve your career goals even as they change over time.
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Cox Enterprises Teams
Cox Enterprises Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Every person has different working styles and preferences — and we aim to empower teams to work where they are most comfortable. Some roles require in-person work, but for those that can be performed remotely, we offer flexibility.
Typical time on-site:
Flexible
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