layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
Data Engineer
KDA Consulting Inc
Chantilly, VA, US; Herndon, VA, US; McLean, VA, US
Source: KDA Consulting Inc careers · View original posting
Employer job description
From KDA Consulting Inc's posting. “We” and “our” refer to the employer.
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.
- Data Pipeline Development & Engineering
- 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
- AWS Cloud & Data Services
- 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
- Data Optimization & Performance
- 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
- Data Quality & Governance
- 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
- Collaboration & Integration
- 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
Requirements
- Active TS/ SCI W/ Polygraph Required.