Data Engineer

• Support the development and maintenance of data pipelines using Databricks, Spark, and similar technologies.
• Write and optimize SQL and Python scripts for data transformation, integration, and automation tasks.
• Develop automation scripts that populate metadata and comments across Databricks tables using structured definitions (e.g., CSV files).
• Assist in building a proof-of-concept (POC) for an automated data dictionary that can be maintained using existing Databricks metadata.
• Contribute to prototyping an AI-powered knowledge agent that leverages internal data and documentation to answer common questions.
• Collaborate with team members to enhance data quality, cataloging, and metadata management across the ecosystem.
• Participate in code reviews, design discussions, and sprint ceremonies to learn engineering best practices.
• Document findings, workflows, and automation processes for future reuse.
• Perform other duties as assigned.

Data Engineering Intern – Spring/Summer 2026

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