onsite
Data Engineer - Central Intelligence Agency
Data Engineer
Build and maintain robust data pipelines, transform and analyze large datasets, and deliver insights to support intelligence operations using Python, SQL, and advanced ETL techniques.
About the role
Key Responsibilities
- Design, develop, and optimize scalable data pipelines to ingest, transform, and store large volumes of structured and unstructured data.
- Implement ETL processes using Python, SQL, and modern data orchestration tools to ensure data quality and reliability.
- Collaborate with data scientists and analysts to provide clean, ready-to-use datasets for advanced analytics and machine‑learning models.
- Monitor pipeline performance, troubleshoot issues, and continuously improve data workflows for efficiency and resilience.
- Document data models, pipeline architecture, and best practices for future maintenance and knowledge transfer.
Requirements
- Proven experience as a Data Engineer or similar role, with strong proficiency in Python and SQL.
- Hands‑on expertise in designing and maintaining ETL pipelines and data warehouses.
- Familiarity with Big Data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
- Strong analytical skills and ability to translate business requirements into technical solutions.
- Excellent communication and collaboration skills in a fast‑paced environment.