Top Data Engineer Jobs in Scottsdale, AZ

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

Design and optimize enterprise-scale data pipelines in Microsoft Fabric, migrate on-prem relational data to OneLake, build streaming ingestion, implement lakehouse/warehouse patterns, ensure performance and governance, support RAG/vector search workflows, maintain Power BI reporting, drive CI/CD, and mentor junior engineers.

Own the 2-3 year architecture and reliability of high-volume catalog, pricing, and inventory ingestion. Lead migrations from legacy batch to modern systems, define data SLAs, build observability and orchestration, mentor senior engineers, and resolve cross-team, high-severity data problems.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.

The Senior Data Engineer II will build and optimize data solutions on Axon's Corporate Data Platform, design data pipelines, mentor team members, and uphold data governance and quality standards.

Design, architect, and build cloud-native, large-scale data platforms and pipelines to support payments products, analytics, and AI/ML. Lead technical strategy, deliver production systems, collaborate cross-functionally, improve engineering standards, and support operations and incident resolution.