Data Engineer Jobs in Tempe, AZ

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.

The Data Test Engineer ensures data integrity across lending microservices and ETL jobs by designing and executing automated tests for APIs and data pipelines, triaging issues, collaborating with engineering and business teams, and establishing QA best practices and tooling.

Owns administration, engineering, reliability, performance, security, governance, cost optimization, and integrations across Databricks, Power BI, AtScale, Azure, and enterprise AI platforms. The role manages platform upgrades, observability, usage reporting, vendor relationships, governance standards, incident escalation, and executive reporting. It requires senior technical leadership without direct reports, hands-on automation, cloud data platform expertise, and collaboration with Security, IT, Legal, Finance, vendors, engineers, analysts, and business users.

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.

Lead strategy, architecture, design, development, testing, and production delivery for complex data platforms and distributed systems. Build scalable data warehouses, real-time and batch pipelines, business intelligence solutions, and AI/ML operationalization capabilities. Own system health, improve engineering standards and tooling, resolve production issues, and partner with product, design, operations, and engineering teams. Influence technical direction, planning, backlog execution, risk management, and data security across broad functional areas.

Leads the architecture, design, development, testing, and deployment of complex data platforms and distributed systems. Builds data strategy, warehouses, big data and real-time processing solutions, BI capabilities, and operationalized AI/ML pipelines. Owns system health, scalability, quality, and production delivery while guiding engineering teams, collaborating cross-functionally, resolving production issues, and improving data standards, tooling, security, and development processes.

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.

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.

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.

Serve as the QA partner for lending data microservices and daily data jobs, ensuring data integrity for applications and BI reporting. Design and execute API and UI automation tests, triage issues, validate data pipelines (Medallion, Airflow), and set testing best practices. Collaborate with engineers and stakeholders to improve processes, tools, and team capabilities.

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.

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.