Staff Data Engineer

🕒 December 18, 2025

🌽 Illinois, Massachusetts – Remote

🌽 Illinois – Remote 🍂 Massachusetts – Remote

💵 $110k - $170k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Press Ganey

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1985

⚕️ Healthcare Insurance

Healthcare Insurance • Analytics • Consulting

Press Ganey is a leading provider of patient experience measurement, performance analytics, and strategic advisory solutions for healthcare organizations. The company focuses on improving the overall healthcare experience through advanced analytics and human-centered insights, helping clients enhance patient and workforce safety, employee experience, and organizational growth. With a data-driven approach, they provide interactive dashboards, industry benchmarks, and actionable insights to drive measurable impact across the healthcare sector. Press Ganey collaborates with healthcare providers, health plans, and life sciences organizations to transform care delivery and improve human experiences in healthcare.

📋 Description

• 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.

🎯 Requirements

• 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 • 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.

🏖️ Benefits

• Bonuses and commissions tied to achieved results