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Lead Data Engineer - Federal Data Systems Early Childhood Programs - JBS International
Data Engineer
Lead data engineering initiatives for federal early‑childhood programs, designing scalable data pipelines, advanced analytics, and AI‑enabled solutions using Python, SQL, ETL tools, data warehousing, and cloud services.
About the role
Key Responsibilities
- Architect, build, and maintain robust data pipelines and ETL processes to ingest, transform, and store large‑scale federal datasets.
- Design and optimize data warehouse schemas (e.g., Snowflake, Redshift) to support diagnostic, predictive, and prescriptive analytics.
- Develop and deploy machine‑learning models and AI components that integrate directly into production data flows.
- Collaborate with program analysts, data scientists, and stakeholders to translate business requirements into technical specifications.
- Implement monitoring, logging, and performance tuning using cloud native tools (AWS CloudWatch, Step Functions, Airflow).
- Establish data governance, security, and compliance standards for sensitive government data.
Requirements
- 5+ years of hands‑on experience in data engineering, including extensive work with Python, SQL, and modern ETL frameworks.
- Proven expertise in designing and managing data warehouses and lakehouse architectures on AWS.
- Strong background in machine‑learning model development, deployment, and operationalization.
- Experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions.
- Excellent problem‑solving skills and ability to communicate complex technical concepts to non‑technical stakeholders.
Skills
pythonsqlmachine learningaws