The Principal Engineer leads technical efforts in network security, cloud networking, and automation while mentoring engineers, collaborating across teams, and influencing technical standards.

As a BI Platform Engineer, you will manage Power BI and Tableau environments, optimize performance, and integrate AI for automation. Collaborate on analytics tools to support data democratization and mentor junior staff.

Lead and execute information risk management activities: design and run cybersecurity risk assessments, administer GRC systems, develop mitigation recommendations, support compliance (SOX, GLBA, HIPAA, CFPB, PCI), deliver security awareness training, analyze vulnerabilities, and produce risk reporting while collaborating with technology and compliance teams.

Lead the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

The Senior Engineer in AI & ML will design and productionalize machine learning models, collaborating with Data Scientists to implement scalable solutions and enhance customer experiences at CarMax.

As a Data Science Manager, you'll drive personalization initiatives through data science, manage experimentation, and lead technical innovation in ML algorithms at CarMax.

As a Software Engineer II at CarMax, you will design and build web applications for customer service, developing responsive UIs and APIs while collaborating with teams throughout the software lifecycle.

The Senior Technology Compliance Analyst will enhance the Compliance Program, evaluate IT controls, conduct assessments, and lead remediation efforts.

The Business Analyst Internship offers college students practical experience in analytics, collaboration, and professional growth through projects and mentorship.

As a Product Manager at CarMax, you will lead a team to develop innovative products that enhance customer experiences in buying and selling vehicles, focusing on customer needs and leveraging technology.

The Senior Principal Engineer in Cloud will develop solutions, improve operations, and ensure the reliability of cloud applications while mentoring other engineers.

Develop ETL processes, integrate data sources, analyze data issues, and ensure adherence to best practices in data management. Collaborate with teams on functional requirements and data modeling.

Lead design and delivery of enterprise Generative AI solutions: capture use cases, architect LLM-based services, drive platform roadmap, ensure integration/testing/observability, mentor engineers, and coordinate with Legal, Security, Ops, and Technology to scale AI adoption.

Lead and grow an AI/ML team, define strategic roadmap, prioritize and deliver scalable ML solutions on Azure, manage budgets and people, ensure best practices, and collaborate cross-functionally while supporting production and on-call incident response.

Lead implementation and configuration of Oracle Cloud Financials, gather and translate business requirements into technical user stories, drive data conversion/mapping, collaborate with SI and cross-functional teams, build/test/train/support solutions, and produce functional specs and SOPs to simplify finance processes.

The Principal Software Engineer will lead MDM data integration efforts, mentor engineers, develop REST APIs, and drive technical decision-making in an Agile team environment.

The Sr. Software Engineer will develop and maintain REST APIs and data integrations on Azure, ensuring effective master data management and performance improvements.

Lead design and delivery of large data products and pipelines, mentor senior engineers, set standards and best practices, promote data/analytics across business units, collaborate on governance and curated data catalog, and present technical work externally.

Design, develop, validate, and improve predictive pricing models for vehicle valuation. Perform feature engineering, incorporate new data sources, run experiments, support model deployment, and communicate findings to stakeholders to drive pricing decisions.

Lead development and improvement of vehicle pricing models by applying machine learning and statistical techniques, feature engineering, and controlled experiments; present insights to senior leaders; research modeling innovations and influence the team's modeling roadmap; communicate model behavior to stakeholders.