Data Engineer Jobs in Tempe, AZ

Designs, builds, optimizes, and supports scalable AWS-based data infrastructure, pipelines, data models, and ETL/ELT processes using Python, SQL, PySpark, Databricks, and Spark. The role supports analytics, reporting, and business intelligence through production monitoring, troubleshooting, testing, CI/CD, documentation, and cross-functional collaboration with BI, Product, Engineering, Data, and client-facing teams.

Designs and develops data engineering, business intelligence, ETL, datamart, and dashboard solutions using Cloudera, Tableau, Spark, and related technologies. Analyzes data quality and business metrics, builds data infrastructure and analytics tools, supports Data Science platforms, improves cluster computing, and collaborates with business and engineering teams. Provides training, mentors interns, and promotes secure, reliable data practices.

Designs and optimizes enterprise data pipelines within Microsoft Fabric, including lakehouse and warehouse architectures, real-time ingestion, cloud migration, governance, CI/CD, and reporting layers. The role uses PySpark, Spark SQL, T-SQL, AI tooling, vector search, and RAG patterns while ensuring performance, reliability, and SLA compliance. Responsibilities also include mentoring junior engineers, leading technical standards, and collaborating with analysts, data scientists, and stakeholders.

Leads architecture and engineering standards for Curaleaf’s data and analytics ecosystem. Designs scalable Snowflake platforms, ingestion and transformation pipelines, data models, governance, testing, CI/CD, security, observability, and cost optimization. Partners with engineering, analytics, data science, governance, and business teams to deliver trusted data products. Provides technical direction, mentorship, incident leadership, and cross-functional alignment as a hands-on principal individual contributor.

Designs and maintains scalable batch and streaming data pipelines, data warehouses, cloud data platforms, validation frameworks, and governance processes. Supports analytics through data modeling and Tableau enablement, resolves complex data issues, delivers architecture prototypes, collaborates with business and audit stakeholders, owns projects end to end, and mentors engineers. Requires advanced SQL and Python, AWS, Snowflake or Databricks, orchestration, transformation tooling, regulatory compliance, and extensive data engineering experience.

The Data Test Engineer provides quality assurance for lending data microservices, daily data jobs, APIs, and business intelligence reporting. Responsibilities include functional, end-to-end, API, and data testing; issue triage; test automation; system validation; and collaboration with engineering and business teams. The role also establishes testing standards, tools, coding guidelines, and team processes while supporting technical initiatives and mentoring team members.

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.

Lead electrical engineering for data center and high-performance AI factory projects. Serve as an electrical subject matter expert, develop studies and specifications, coordinate medium to large projects, provide technical reviews and quality assurance, advise clients, and mentor engineering staff. Responsibilities include design of power distribution and backup power systems, including 400VDC, 800VDC, and 1500VDC systems, with travel required.

Serve as the electrical subject matter expert for data center and AI factory projects. Lead complex engineering project planning, design, coordination, technical reviews, quality assurance, client engagement, and commissioning support. Develop studies and specifications, advise clients, manage discipline quality procedures, and mentor junior engineers. Travel is required.

Build and maintain an internal data product that helps employees discover and use business information. Collaborate with users, business leaders, engineers, analysts, and product managers to define requirements, develop features, integrate internal data systems, and ensure application reliability. Responsibilities include architecture, APIs, data models, security, testing, monitoring, production support, documentation, user training, and continuous improvement based on feedback and usage.

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.