Press Ganey · 1 day ago
Staff Data Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$110K/yr - $170K/yr
7+ years expPress Ganey is a leading experience measurement and data analytics provider for complex industries. They are seeking an experienced Staff Data Engineer to design, develop, and maintain enterprise-scale data infrastructure, leveraging Azure and Databricks technologies while collaborating with analytics and business teams to enable data-driven decision-making.
Health Care
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
Qualification
Required
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
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
Master's degree in Computer Science, Engineering, or a related field
Exposure to machine learning integration within data engineering pipelines
Benefits
Competitive benefits package
Discretionary bonus or commission tied to achieved results
Company
Press Ganey
Press Ganey is the leading partner to healthcare providers and health plans improving the experiences of their patients, consumers, and workforce by marrying data with unparalleled technology, analytics, and expertise.
1001-5000 employees
H1B Sponsorship
Press Ganey has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (6)
2023 (8)
2022 (9)
2021 (2)
Funding
Current Stage
Late StageTotal Funding
unknown2013-01-02Acquired
Leadership Team
Greg Freiberg
Chief Financial Officer
Darren Dworkin
President & COO
Company data provided by crunchbase