Data Engineer, Chantilly

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

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

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