About the Company
Cox Automotive is a technology-driven company transforming how people buy, own, sell, and use vehicles. Its portfolio includes well-known consumer brands such as Autotrader and Kelley Blue Book, along with dealer-focused businesses including vAuto and Manheim. The company combines technology, data, and industry expertise to improve experiences for drivers, dealers, and automotive businesses.
Cox Automotive promotes a collaborative, people-centered culture that encourages innovation, continuous learning, and professional growth.
About the Role
Cox Automotive is seeking a Data Engineer I to help build and maintain the data infrastructure that supports analytics, reporting, and data-driven decision-making across the business. This individual contributor role focuses on developing data pipelines, supporting a Data Vault-based data warehouse, and improving data quality and reliability.
The successful candidate will work with technologies such as Snowflake, dbt Cloud, AWS, Microsoft Azure, and Microsoft Fabric. The role also involves collaborating with analysts and business stakeholders, participating in code reviews, troubleshooting production issues, and using AI-assisted development tools such as Claude Code to support engineering tasks.
Key Responsibilities
Build, test, and maintain data pipelines that ingest, transform, and deliver data from operational and third-party source systems.
Contribute to the development and maintenance of the company's Data Vault-based data warehouse.
Develop and optimize extract, load, and transform (ELT) processes using cloud data platforms and modern transformation tools.
Work with analysts and business stakeholders to translate data requirements into scalable technical solutions.
Monitor and improve data quality, reliability, and performance across data warehouse and reporting solutions.
Participate in code reviews, testing activities, and technical design discussions.
Create and maintain technical documentation covering data flows, transformations, and business rules.
Support production data processes and troubleshoot data-related issues.
Use AI-assisted development tools such as Claude Code for pipeline development, code reviews, testing, and documentation.
Continue learning and applying emerging technologies, tools, and data engineering best practices.
Required Qualifications
Bachelor’s degree in Computer Science, or an alternative combination of qualifications that may include four years of experience in a related field.
Experience writing and troubleshooting SQL queries.
Understanding of relational database concepts, including tables, joins, keys, and normalization.
Foundational knowledge of data integration, ETL/ELT processes, or data warehousing.
Experience with a programming or scripting language such as Python, SQL, or PowerShell.
Strong analytical, problem-solving, and troubleshooting skills.
Ability to collaborate effectively within a team.
Strong written and verbal communication skills.
Ability to learn new technologies and adapt to changing business and technical requirements.
Availability for rotational on-call duties outside standard business hours, if required.
Preferred Qualifications
Internship, co-op, academic project, or professional experience in data engineering, analytics, software engineering, or business intelligence.
Experience with cloud platforms such as AWS or Microsoft Azure.
Familiarity with Snowflake, Microsoft Fabric, or other cloud-based data platforms.
Experience using dbt or similar data transformation frameworks.
Understanding of data warehousing methodologies, including Data Vault, dimensional modeling, and star schema design.
Experience developing or supporting data pipelines and data integration processes.
Familiarity with source control tools such as Git, GitHub, or Azure DevOps.
Exposure to CI/CD concepts and modern software development practices.
Experience with analytics and reporting tools such as Power BI.
Relevant certifications in Microsoft Azure, AWS, Snowflake, Microsoft Fabric, or related technologies.
Technology Stack
Data warehousing and transformation: Snowflake, dbt Cloud, Data Vault 2.0.
Cloud platforms: AWS, Microsoft Azure, Microsoft Fabric.
Source systems: Microsoft SQL Server.
Engineering practices: Git-based source control and CI/CD.
AI-assisted development: Claude Code.
Location and Work Arrangement The role offers remote work flexibility, but candidates must reside within the specific city, state, or region designated for the position. The role follows a day-shift schedule and does not require travel.
Applicants must be authorized to work in the United States for any employer without current or future sponsorship. Cox Automotive does not offer visa sponsorship or accept OPT, CPT, or STEM OPT arrangements for this position.
Salary and Benefits The anticipated base salary range is $67,100 to $100,700 per year. Actual compensation may vary depending on the position's location and the selected candidate's knowledge, skills, and abilities. Additional compensation may be available through an incentive program.
Benefits for eligible employees may include medical, dental, and vision insurance; a 401(k) retirement plan; flexible paid vacation; seven paid holidays; and up to 160 hours of paid wellness time annually. Additional leave may be available for bereavement, voting, jury duty, volunteering, military service, and parental responsibilities.
Pre-Employment Requirements
Employment is contingent on successfully completing a pre-employment drug test. Cox Automotive does not currently test for marijuana as part of this position's pre-employment screening. The company maintains a drug-free workplace, and the use, possession, or influence of drugs illegal under applicable federal or state law is prohibited during working hours and on company property or in company vehicles.
Equal Employment Opportunity
Cox Automotive is an equal opportunity employer. Qualified applicants and employees are considered without discrimination based on age, race, color, religion, national origin, sex, pregnancy, sexual orientation, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Reasonable accommodations are provided to qualified applicants and employees with disabilities unless doing so would cause undue hardship.