Principal FDE (Data Engineering / GenAI)

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About this kind of role

What a Principal FDE (Data Engineering / GenAI) usually does. The employer's own details are in the listing.

Typically does: A Principal Federal Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data-driven decision-making within a federal agency. This role involves collaborating with data scientists, analysts, and other engineers to ensure data quality, accessibility, and security. Responsibilities often include leading technical projects, mentoring junior engineers, and researching emerging technologies. The Principal Data Engineer ensures compliance with federal data governance policies and standards.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), data warehousing technologies (e.g., Snowflake, Redshift), programming languages (e.g., Python, SQL), and experience with data modeling, ETL processes, and machine learning frameworks is generally expected.

Good fit for: Individuals with strong leadership qualities, a deep understanding of data engineering principles, and a commitment to delivering robust and scalable data solutions are typically successful in this role.