Press Ganey ยท 15 hours ago
Staff Data Engineer ( Boston or Chicago )
Chicago, IL
Full-time
Hybrid
Senior Level, Lead/Staff
$100K/yr - $140K/yr
5+ years expPress Ganey is a leading experience measurement and data analytics provider focused on improving human experiences across various industries. They are seeking a self-motivated Staff Data Engineer to design and implement frameworks and systems that support the development and deployment of AI solutions, ensuring scalability and reliability.
Health Care
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 architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration
Qualification
Required
5+ years of experience in platform engineering with a focus on data and ML systems
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP
Experience deploying and managing a variety of database technologies
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers
Knowledge of conversational AI, agent-based systems, and chat interface development
Proven track record in deploying and maintaining ML and AI solutions in a production setting
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows
Experience with MLOps
Preferred
Experience with Databricks is a plus
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