What are the responsibilities and job description for the Staff Data Engineer Boston or Chicago position at Press Ganey?
Job Description
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. The ideal candidate will have strong foundational skills in cloud infrastructure, automation and devops practices, as well as experience implementing data pipelines and deployment automation for ML and analytical workloads.
- 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 architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills
Qualifications : Qualifications
Minimum Qualifications
Additional Information
Press Ganey Associates LLC is an Equal Employment Opportunity / Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class.
Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $130,000 to $160,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
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Salary : $130,000 - $160,000
