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Data Engineer ( Boston or Chicago

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Press Ganey
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Engineer ( Boston or Chicago )

Company Description

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.

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.
Role Overview

Press Ganey is looking to hire a self‑motivated Staff Data Engineer with data platform experience. The Staff Data Engineer (Platform) will play a crucial role in designing, implementing and architecting frameworks, systems and automation that support the development, deployment and observability of state‑of‑the‑art large language models (LLMs) and generative AI solutions. This position focuses on creating scalable, reliable systems and processes that streamline the developer experience and empower analysts and data scientists.

Duties & Responsibilities
  • Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
  • Architect robust, reliable solutions for specific AI applications using appropriate cloud‑based and open source technologies.
  • Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
  • Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
  • Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
  • Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
  • Integrate models with chat interfaces and conversational platforms to create responsive, user‑centric applications.
  • Investigate and implement agent‑based architectures that support conversational intelligence and interaction modeling.
  • Collaborate with cross‑functional teams to design AI‑driven features that enhance user experience and interaction within chat interfaces.
  • Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
  • Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
  • Create and maintain comprehensive documentation for model…
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