Staff Data Engineer ( Seattle​/Provo Hybrid

Company Description Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business.

We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world‑class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands.

As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship:
Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me:
Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning:
Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate:
We challenge the status quo with creativity and innovation as our true north. Better together:
We check our egos at the door. We work together, so we win together.

To work #bettertogether, we operate with a hybrid working mode in the United States (US). For those near a US hub location, we gather in our office locations three days a week (Tuesday, Wednesday, Thursday). For the remaining days, we work from home.

Our current hub locations are in Chicago, IL, Boston, MA, and South Bend, IN.

Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at  Please provide your contact information and the details of your request so we can best assist you.

• Design, build, and optimize data pipelines and workflows in Azure and Databricks, including Data Lake and SQL Database integrations.
• Implement scalable ETL/ELT frameworks using Azure Data Factory, Databricks, and Spark.
• Optimize data structures and queries for performance, reliability, and cost efficiency.
• Drive data quality and governance initiatives, including metadata management and validation frameworks.
• Collaborate with cross-functional teams to define and implement data models aligned with business and analytical requirements.
• Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
• Ensure adherence to security, compliance, and data privacy standards.
• Mentor junior engineers and contribute to establishing engineering best practices.
• Support CI/CD pipeline development for data workflows using Git Lab or Azure Dev Ops.
• Partner with data consumers to publish curated datasets into reporting tools such as Power BI.
• Stay current with advancements in Azure, Databricks, Delta Lake, and data architecture trends.

• Advanced proficiency in Azure 5+ years (Data Lake, ADF, SQL).
• Strong expertise in Databricks (5+ years), Apache Spark (5+ years), and Delta Lake (5+ years).
• Proficient in SQL (10+…