Data Platform Engineer - Azure & Databricks

Press Ganey; Provo (UT); On-site; USD 110,000 - 170,000; Full time

Job summary

Press Ganey in Provo, UT is seeking an experienced Staff Data Engineer to join the Unified Data Platform team. You will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks to enable data-driven decisions.

You'll build robust data pipelines, optimize workflows, and drive data quality and governance across the platform, collaborating with analytics, data science, and business teams, while mentoring junior engineers and promoting engineering best

Qualifications

• 5+ years of experience in data engineering on cloud platforms.
• Experience building data pipelines with Azure and Databricks.
• Strong knowledge of data governance and metadata management.
• Experience leading projects and mentoring engineers.

Responsibilities

• Design, build, and optimize enterprise-scale data pipelines in Azure Databricks.
• Collaborate with analytics and data science teams to enable data-driven decisions.
• Ensure data quality, governance, and security across platforms.
• Mentor junior engineers and promote engineering best practices.
• Contribute to CI/CD for data workflows and maintain documentation.

Skills

Analytical thinking

Problem-solving

Communication

Mentoring

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

Azure Data Factory

Databricks

Apache Spark

Delta Lake

SQL

Python

Git

CI/CD

Power BI

Job description

Press Ganey in Provo, UT is seeking an experienced Staff Data Engineer to join the Unified Data Platform team. You will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks to enable data-driven decisions.

You'll build robust data pipelines, optimize workflows, and drive data quality and governance across the platform, collaborating with analytics, data science, and business teams, while mentoring junior engineers and promoting engineering best