Top Senior Level Data Engineer Jobs in Phoenix, AZ

The Data Architect will design, develop, and maintain data architecture and infrastructure, ensuring data integrity, security, and accessibility. Responsibilities include creating data models, overseeing data integration, establishing data governance, and optimizing data systems for performance. This role requires collaboration with teams and leadership in data transformation initiatives.

The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.

The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.

The Sr Data Engineer will design and build data processing pipelines, collaborate with stakeholders to define requirements, and improve the codebase while ensuring high-quality cloud-native data solutions. This role involves working with data at scale in a team-oriented, agile environment and providing guidance to other engineers.

The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.

As a Senior Data Engineer, you will develop a cloud-based data transformation solution for the U.S. Army, managing data pipelines and communicating design decisions. This role requires architectural thinking, programming skills, and coordination with multiple teams to ensure the successful delivery of a secure product.