Staff Data Engineer ( Boston or Chicago )

Company Description

PG Forsta is the leading experience measurement data analytics and insights provider for complex industriesa 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 worlds 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.

Press Ganey is looking to hire a self-motivated Staff Data Engineer with data platform 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 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. Experience with Databricks is a plus. QualificationsMinimum Qualifications 5 years of experience in platform engineering with a focus on with a focus on data and ML systems. Bachelors degree in Computer Science Engineering Data Science or a related field.

Dont meet every single requirementStudies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse inclusive and authentic workplace so if youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Additional Information for US based jobs:

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 contractors legal duty to furnish information.

The expected base salary for this position ranges from $100000 to $140000. 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 addition to base salary and a competitive benefits package successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here: Experience:

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