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Lead Data Engineer - Federal Data Systems Early Childhood Programs - JBS INTERNATIONAL, INC
Data Engineer
Lead Data Engineer driving AI‑powered analytics for federal early childhood programs, designing scalable data pipelines, and delivering predictive insights using Python, SQL, and advanced machine learning techniques.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end data pipelines that ingest, transform, and store large volumes of federal program data.
- Design and optimize relational and columnar databases, ensuring high performance and data integrity.
- Develop and deploy machine learning models for predictive and prescriptive analytics to support policy decisions.
- Collaborate with cross‑functional teams to translate business requirements into scalable data solutions.
- Implement robust ETL processes, data quality checks, and monitoring to guarantee data reliability.
Requirements
- 5+ years of experience in data engineering, with a strong focus on AI and machine learning.
- Proficiency in Python, SQL, and modern ETL frameworks.
- Hands‑on experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Deep understanding of database design, performance tuning, and data governance.
- Excellent communication skills and ability to work in a federal data environment.
Skills
pythonsqlmachine learning