Data Engineer Jobs in Tempe, AZ

As a Data Engineer, you'll design, build, and maintain ETL/ELT pipelines, develop data infrastructure, collaborate with BI teams, and optimize data models for reporting.

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.

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.

Work with engineering teams to design and execute automated tests for data microservices and ETL jobs. Validate API and BI data integrity, use API testing tools, SQL data profiling, Airflow/DAG knowledge, and collaborate across teams to maintain testing best practices and reporting.

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.

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 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 Analyst will manage the lifecycle of data analysis projects for RevolutionParts, develop complex models using SQL and Python/R, ensure data integrity, create dashboards in Looker, and mentor the team on data strategy.

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

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

Lead the development and optimization of data transformation processes using dbt Core, Snowflake, and Python. Mentor engineers and ensure deliverables meet analytics needs.

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.

As a Software Engineer 1, you will contribute to data collection, build ETL jobs, and develop a Big Data framework as part of a Scrum team.

Design, build, and maintain data pipelines, models, reports and Power BI/SSMS dashboards for public safety clients. Configure system databases, optimize queries and data models, train agency users, create instructional materials and eLearning, lead multi-agency implementations, mentor junior staff, and serve as the analytics SME and escalation point while ensuring CJIS compliance.

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.

The Staff Software Engineer will lead innovative product development on the Azure Cloud Data Platform, focusing on architecture, design, and implementation while collaborating across global teams to enhance delivery effectiveness and resolve operational challenges.