Data Engineer Jobs in Tempe, AZ

Design, build, and maintain cloud-native data lakehouse architectures and scalable production data pipelines on AWS. Ingest and process time-series, structured, and unstructured data using Databricks/DeltaLake, Snowflake/Redshift and Spark. Develop anomaly detection and forecasting models, enforce data governance, and deliver Gold-layer data products for analytics and visualization.

Senior individual contributor providing enterprise-wide technical leadership: designs and codes large-scale, cloud-native distributed systems, drives architectural strategy and standards, leads multi-year initiatives, mentors senior engineers, ensures security, scalability, observability, CI/CD and regulatory compliance, and communicates risks and trade-offs to executives.

The Data Solutions Engineer II will develop and maintain data integration pipelines, automate processes, ensure accessibility of public safety data, and facilitate collaboration among teams.

The Senior Data Engineer will design and maintain predictive modeling pipelines, integrate data sources, and support data scientists and software engineers in building scalable applications using various technologies.

Lead modernization of the data ecosystem, design scalable data infrastructure, implement CI/CD, mentor engineers, and optimize ML workflows.

The Staff Data Engineer will design and enhance data architectures, lead complex initiatives, mentor teams, and ensure data quality and governance across the organization.

Lead the design, development, and management of cloud-based data services, focusing on automation, database systems, and cloud migration projects while ensuring security and compliance.

The Sr. Staff Data Engineer will develop and deploy complex data solutions, collaborating with teams, enforcing standards, mentoring engineers, and driving technical architecture and improvements.

As a Senior Data Engineer at Carvana, you will build and optimize data infrastructure to support web and internal tools, ensuring data quality and collaboration across teams.