Data & AI Product Engineer
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Job Description
Data & AI Product Engineer building Lakehouse pipelines, machine learning, and generative AI products at employee-owned engineering firm Salas O’Brien. Delivering reliable solutions from business requirements through production.
Responsibilities:
- Build and operate data pipelines on the Lakehouse, including ingestion, transformation, quality checks, and monitoring
- Develop product features from requirements through production, including testing and documentation
- Build machine learning or generative AI components supporting the product roadmap
- Apply evaluation practices to confirm model performance and usefulness
- Follow platform patterns and engineering standards, and provide feedback on improvements
- Participate in code reviews
- Investigate defects, address root causes, and communicate updates to the Product Manager
- Add instrumentation to measure and improve product usage, reliability, and performance
- Work directly with business users to clarify requirements and shape practical solutions
- Contribute to design discussions and technical decisions with the product pod
- Maintain clear documentation for supported components and workflows
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
- Hands-on Databricks experience, including workflows, Delta Lake, and Unity Catalog, is highly valued
- Experience with continuous integration and deployment practices for data workloads
- Experience delivering solutions for internal business users
- 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
Benefits:
- Performance-based bonuses
- Equity participation
- 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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