Data Engineer
About The Position
KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.
Requirements
- Active TS/ SCI W/ Polygraph Required.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
- Demonstrated experience in data engineering and pipeline development
- Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)
- Proficiency in SQL and Python for data processing and transformation
- Experience working with large-scale data sets and big data technologies
- Strong analytical and problem-solving skills
Responsibilities
- 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
- Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
