KDA Consulting Inc. is seeking a Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC).
Requirements
- Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
- Build and optimize data workflows supporting both batch and real-time processing
- Ensure high availability and reliability of data pipelines across enterprise systems
- Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions
- Implement best practices for data storage, partitioning, and lifecycle management
- Optimize data storage and retrieval for performance, scalability, and cost efficiency
- Implement indexing, partitioning, and query optimization strategies
- Monitor and troubleshoot data pipeline performance issues
- Ensure data accuracy, consistency, and integrity across all data pipelines and systems
- Implement validation, monitoring, and error-handling mechanisms
- Support data governance practices and compliance with security and IC standards
- Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
- Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
- Participate in Agile development processes and contribute to continuous improvement efforts