Staff Data Engineer

Press Ganey Associates LLC•Chicago, IL

52d•$110,000 - $170,000

About The Position

PG Forsta 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. We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.

Requirements

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.

Nice To Haves

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

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.