Data & AI Product Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and maintain data pipelines on the Lakehouse, encompassing ingestion, transformation, quality checks, and monitoring.

• Create product features from initial requirements to production, including testing and comprehensive documentation.

• Develop machine learning or generative AI components that align with the product roadmap.

• Implement evaluation practices to validate model performance and effectiveness.

• Adhere to platform patterns and engineering standards, while providing constructive feedback for enhancements.

• Engage in code reviews to ensure quality and compliance.

• Analyze defects, identify root causes, and relay updates to the Product Manager.

• Incorporate instrumentation to evaluate and enhance product usage, reliability, and performance.

• Collaborate directly with business users to clarify requirements and develop practical solutions.

• Actively participate in design discussions and technical decisions within the product pod.

• Maintain comprehensive documentation for supported components and workflows.

⛳️ Requirements

• A minimum of three years of professional experience in data engineering, machine learning engineering, analytics engineering, or software development.

• Proficient in Python and SQL, including the capability to write, test, and debug production code independently.

• Familiarity with a cloud data platform and principles of distributed data processing.

• Experience with version control and collaborative development practices, such as branching, pull requests, and code reviews.

• Strong understanding of data modeling and fundamental data quality concepts.

• Ability to manage a backlog, communicate progress effectively, and proactively address risks or timing issues.

• Bachelor's degree in engineering, computer science, mathematics, or a related field, or equivalent experience.

• Practical experience with Databricks, including workflows, Delta Lake, and Unity Catalog, is highly desirable.

• Knowledge of continuous integration and deployment practices for data workloads.

• Proven 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.

• Background in front-end development, including React or a similar framework.

• Understanding of architecture, engineering, or professional services operations.

🏝️ Benefits

• Performance-based bonuses.

• Equity participation.

• Medical, dental, and vision insurance.

• 401(k) plan with company match.

• Paid time off and company-designated holidays.

• Wellness programs and employee assistance resources.

• Support for professional development.