Data Engineer Jobs in Tempe, 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.

As a Forward Deployed Data Engineer at TENEX, you will develop detection rules, build log parsers, maintain SOAR playbooks, and train customers on the platform functionalities.

Responsible for data collection to support model training, finding audio data sources, operating cloud infrastructure, and collaborating on dataset roadmap.

Lead modernization and operation of Dutch Bros' data platform: design, build, and maintain scalable Snowflake-based data pipelines and infrastructure, enable real-time ETL/ELT, support analytics and ML workflows, implement CI/CD and IaC, ensure data governance and security, and communicate technical solutions to stakeholders.

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

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

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.

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.

The Software Engineer will manage data collection for model training, operate cloud infrastructure, and collaborate on dataset roadmaps to enhance data quality for Speechify's products.

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.

The Software Engineer 2 in the Data Domain will develop data pipelines, build ETL jobs, and participate in Scrum teams while learning from senior developers to grow technical skills in a collaborative environment.

Design, build, and optimize scalable data pipelines and models using Snowflake, SQL, Python, Kafka, dbt, and Argo. Support near-real-time integrations, CI/CD workflows, data quality, and performance; mentor engineers; partner with product and analysts to deliver production-ready, AI-enabled data solutions.

The Data Solutions Engineer II will develop and maintain integration solutions, manage projects, collaborate with teams, and utilize data tools to support public safety agencies.

Build and ship production-grade data products and ML systems from device telemetry to analytics. Own ML model deployment, monitoring, versioning, and data pipelines. Set technical direction, work across the full stack, and collaborate with product, domain experts, and designers to deliver reliable, reusable insights for law enforcement training.