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# Data and AI Product Engineer

- **Company:** Intermountain Healthcare
- **Location:** West Valley City, UT, United States (Remote available)
- **Salary:** $92,269.0 - $145,288.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Component-Based Software Engineering, Application Integration Architecture, Application Services, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, Information Engineering, Data Visualization, Database Design, DevOps, Web Development, Github, Python (Programming Language), Standard Sql, DataOps, Secure Coding, Software Deployment, Software Engineering, SQL Databases, TypeScript, Web Applications, Web Application Frameworks, Sql Optimization, ReactJS, Flask (Web Framework), Software Application Programming, Backend, Containerization, AI Platforms, Data Analytics, Data Management, Front End Software Development, Api Design, Restful APIs, Software Version Control, Docker, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e8f5298a08192e2e

## About the Role

* 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.

## Description

* 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, * Developing data applications or products using Databricks and/or Azure .
 * 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.