Data and AI Product Engineer

The Data and AI Product Engineer designs and develops modern data, analytics, AI, and web-based products that enable users to interact with data and analytics in intuitive ways. This role combines full-stack software engineering, data engineering, and cloud development to build scalable applications and reusable platform capabilities. The engineer works across frontend and backend technologies, APIs, data platforms, and CI/CD processes to take solutions from concept through production.

Ideal candidates have experience developing modern web applications using technologies such as React/ReactJS, Python, Flask or similar frameworks, REST APIs, Git/GitHub, CI/CD, Docker, and cloud data platforms such as Databricks and Azure.

Essential Functions:

• Design, develop, test, and deploy full-stack web applications and data products.
• Build modern user interfaces using JavaScript/TypeScript and frameworks such as React/ReactJS.
• Develop backend application services using Python and web frameworks such as Flask.
• Design and integrate REST APIs and services connecting applications with data, analytics, and AI capabilities.
• Implement automated CI/CD workflows using GitHub/GitHub Actions or similar technologies.
• Containerize and deploy applications using Docker and modern application deployment patterns.
• Apply software engineering practices including version control, code review, automated testing, observability, and secure development.
• Collaborate with analytics, data engineering, product, UX, and business teams to translate user needs into scalable products.
• Build reusable application components, frameworks, services, and development patterns that accelerate delivery across analytics teams.

Skills

Full-Stack & Software Engineering

• React / ReactJS
• JavaScript / TypeScript
• Python
• Flask or comparable Python web frameworks
• REST APIs and application integration
• HTML / CSS and modern web application development

DevOps & Application Delivery

• Git / GitHub
• CI/CD
• GitHub Actions or comparable CI/CD tooling
• Docker / containerization
• Automated testing
• Application deployment and monitoring

Data & AI Platforms

• Databricks
• Azure
• SQL
• Data engineering and data modeling
• AI/ML or generative AI application integration, * Building applications that integrate data, analytics, APIs, or generative AI capabilities.
• Working across the full software development lifecycle, including architecture, development, testing, deployment, monitoring, and ongoing support.
• Building reusable frameworks, components, or platform capabilities, rather than only one-off applications., At Intermountain Health, we use the artificial intelligence (“AI”) platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process.

Product Engineering, Artificial Intelligence (AI), Product Engineering, Scalable System Development, Software Engineering, Application Programming Interface (API), Technical/Engineering Design, Cloud Computing, Artificial Intelligence (AI), Data Analysis, * Proficient use of data visualization tools.

• Strong analytical and problem-solving skills.
• Effective Collaboration with cross-functional teams to deliver data products.
• Applies best practices in data engineering and analytics.
• Proficient in Python and SQL.
• Experience leveraging agile methodologies and version control systems.
• Experience delivering software development solutions.
• Experience in data engineering best practices, database design, data modeling, SQL optimization.
• Experience leveraging cloud platforms.
• Experience creating and using APIs to integrate, automate, and extend tool capabilities.
• Ensure data quality and integrity through validation and testing.
• Effective Collaboration with cross-functional teams to deliver data products.

Preferred experience includes:

• Developing production web applications using React/ReactJS and Python.
• Developing APIs and backend services using Flask or similar frameworks.
• Working with GitHub-based CI/CD and automated software delivery practices.
• Building and deploying containerized applications using Docker.

The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $44.36 - $69.85

We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Learn more about our comprehensive benefits package here.