Technology at Cox is more than building systems and writing code — it’s about creating meaningful solutions that make life more connected, efficient and sustainable. Whether you’re searching for jobs in software engineering, cybersecurity, IT, data science, AI, UX, machine learning, product, or full stack development, you’ll find opportunities here that challenge you and give you room to grow.
Cox Enterprises
Teams at Cox Enterprises
Product & Tech
Recently posted jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Designs, builds, and optimizes scalable data pipelines, integrations, warehouse solutions, and enterprise data models. Partners with stakeholders to develop reliable data products for analytics, reporting, and AI use cases. Responsibilities include performance optimization, automation, troubleshooting, root cause analysis, code reviews, documentation, technical design, and mentoring. Requires production data engineering experience, SQL, cloud platforms, ETL, source control, and collaborative software development practices.
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Build and maintain data pipelines, contribute to a Data Vault-based warehouse, develop cloud ELT processes, and improve data quality and reliability. The role partners with analysts and stakeholders to translate requirements into technical solutions, supports production troubleshooting, participates in testing and code reviews, documents data flows, and uses AI-assisted development tools. It is designed for an early-career engineer developing expertise in cloud data platforms, warehousing, and modern engineering practices.
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Leads the architecture, development, integration, and support of enterprise finance data applications and platforms. Designs scalable data pipelines, warehouses, models, semantic layers, and ETL/ELT workflows supporting financial planning, forecasting, consolidation, and reporting. Ensures data quality, governance, security, observability, and compliance while optimizing performance and infrastructure costs. Partners with technical and finance teams, resolves complex production issues, evaluates emerging AI and data technologies, mentors team members, and may participate in rotational on-call support.
