Data and AI Product Engineer

Lake Park Building

Full time

R187996

Job Description

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/Git Hub, 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/Type Script 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 Git Hub/Git Hub 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 / Type Script

• Python

• Flask or comparable Python web frameworks

• REST APIs and application integration

• HTML / CSS and modern web application development

Dev Ops & Application Delivery

• Git / Git Hub

• CI/CD

• Git Hub 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

Qualifications

Minimum Qualifications

• 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 Git Hub-based CI/CD and automated software delivery practices.

• Building and deploying containerized applications using Docker .

• 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…