Data & AI Product Engineer
About The Position
As a Data & AI Product Engineer, you will help build and support the pipelines, models, and applications that power practical Data & AI products. You will contribute to meaningful product features while working within established platform patterns, engineering practices, and quality standards. This is a hands-on engineering role with room to grow. You will work on real business problems, collaborate with experienced teammates, and help bring solutions from idea through production. You will be part of a small product pod, working closely with a Product Manager and other engineers to deliver useful, reliable products and improve them over time. This role reports to the Data & AI Product Manager for the assigned product, with technical guidance from the Senior Data & AI Product Engineer on the pod. As your experience grows, there is a path toward a Senior Data & AI Product Engineer role based on demonstrated technical depth, reliable independent delivery, and the ability to lead design for meaningful work.
Requirements
- Three or more years of professional experience in data engineering, machine learning engineering, analytics engineering, or software development.
- Working Python and SQL skills, including the ability to write, test, and debug production code without close supervision.
- Experience with a cloud data platform and distributed data processing concepts.
- Experience with version control and collaborative development practices, including branching, pull requests, and code review.
- Understanding of data modeling and data quality fundamentals.
- Ability to work from a backlog, communicate progress clearly, and raise risks or timing considerations early.
- Bachelor's degree in engineering, computer science, mathematics, or a related discipline, or equivalent experience.
Nice To Haves
- Databricks certification at the associate or professional level.
- Experience with MLflow, model serving, or generative AI application patterns.
- Front-end development experience, including React or a comparable framework.
- Familiarity with architecture, engineering, or professional services operations.
Responsibilities
- Build and operate data pipelines on the Lakehouse, including ingestion, transformation, quality checks, and the monitoring that catches failures early.
- Develop product features from requirements through production, including testing and documentation as part of the delivery process.
- Build machine learning or generative AI components when they support the product roadmap, including evaluation practices to confirm performance and usefulness.
- Follow platform patterns and engineering standards for the pod, and share feedback when standards can be improved.
- Participate in code reviews to improve quality, share knowledge, and support consistent engineering practices.
- Support what you build by investigating defects, addressing root causes, and communicating updates clearly to the Product Manager.
- Add instrumentation so product usage, reliability, and performance can be measured and improved.
- Work directly with business users to clarify requirements, understand intent, and shape practical solutions.
- Contribute to design discussions and technical decisions with the product pod.
- Maintain clear documentation for the components and workflows you support.
Benefits
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off and company holidays
- Wellness programs and employee assistance resources
- Professional development support
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
