Staff Data Engineer ( Seattle/Provo Hybrid)

Press Ganey Associates LLC; Provo (UT); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Press Ganey Associates LLC is seeking a senior data engineer to design, build, and optimize cloud-based data pipelines in Azure and Databricks. You will implement scalable ETL/ELT frameworks, optimize data structures for performance, and drive data quality and governance across cross-functional teams.

You will mentor engineers, support CI/CD for data workflows, and publish curated datasets to Power BI. The role requires 7+ years in data engineering, strong SQL/Python skills, and a passion for

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• 7+ years of experience in data engineering, with significant hands-on work in cloud-based data platforms (Azure).
• Experience building real-time data pipelines and streaming frameworks.
• Strong analytical and problem-solving skills.
• Proven ability to lead projects and mentor engineers.
• Excellent communication and collaboration skills.

Responsibilities

• Design, build, and optimize data pipelines and workflows in Azure and Databricks.
• Implement scalable ETL/ELT frameworks using Azure Data Factory, Databricks, and Spark.
• Optimize data structures and queries for performance and cost efficiency.
• Drive data quality and governance initiatives, including metadata management.
• Collaborate with cross-functional teams to define data models aligned with business requirements.
• Maintain documentation and enforce engineering best practices.
• Ensure adherence to security, compliance, and data privacy standards.
• Mentor junior engineers and contribute to engineering best practices.
• Support CI/CD pipelines for data workflows using GitLab or Azure DevOps.
• Publish curated datasets into Power BI.
• Stay current with Azure, Databricks, Delta Lake, and data architecture trends.

Skills

Azure

Databricks

Spark

Delta Lake

SQL

Python

Power BI

Data Modeling

Data Governance

Git

CI/CD

DevOps

Education

Bachelor's or Master’s in Computer Science / Data Science / related field

Tools

Azure Data Factory

Delta Lake

Git

Azure DevOps

Job description

Company DescriptionPress 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

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 [e-mail] Please provide your contact information and the details of your request so we can best assist you.

Duties & Responsibilities

• 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 GitLab or Azure DevOps.
• 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.

Technical Skills

• 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+ years) and Python (5+ years); familiarity with Scala is a plus.
• Strong understanding of data modeling, data governance, and metadata management.
• Knowledge of source control (Git), CI/CD, and modern DevOps practices.
• Familiarity with Power BI visualization tool.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 7+ years of experience in data engineering, with significant hands‑on work in cloud-based data platforms (Azure).
• Experience building real‑time data pipelines and streaming frameworks.
• Strong analytical and problem‑solving skills.
• Proven ability to lead projects and mentor engineers.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, or a related field.
• Exposure to machine learning integration within data engineering pipelines.

Additional Information for US-based jobs

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/