Putting Human Experience at the heart of healthcare
Staff Data Engineer
Location
Illinois + 1 moreAll locations: Illinois | Massachusetts
Posted
169 days ago
Salary
$110K - $170K / year
Seniority
Lead
Job Description
Staff Data Engineer
Press Ganey
• 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.
Job 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
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