Data and AI Product Engineer

• 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.

• 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.

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.