Data Engineer - DoD AI/Analytics & ETL

Peraton; Fort Meade (FL); On-site; USD 135,000 - 216,000; Full time

Benefits offered by this job

Medical benefits

401(k)

PTO

Paid holidays

Job summary

Peraton, a leading national security company, seeks a Data Engineer to support the DoD Cyber Defense Command at Fort Meade, MD. You will design data infrastructure, ETL pipelines, and integration solutions for analytic capabilities within Caspian and JCRS-D environments.

You'll join the Analytic Development Team and collaborate across data engineering disciplines, implementing validation, lineage, and scalable pipelines using Airflow, NiFi, Spark, and cloud services.

Qualifications

• Experience with varied degree requirements: BS/BA 8+ yrs, MS/MA 6+ yrs, PhD 3+ yrs; HS 12 yrs, AA 14 yrs.
• Proficiency in Python, SQL, Scala.
• Experience with Spark, Kafka, Hadoop ecosystem.
• Knowledge of data modeling and warehousing.
• Understanding of streaming architectures.
• Experience with cloud data services.
• U.S. Citizenship required; DoD TS clearance eligibility.

Responsibilities

• Design and implement ETL workflows using Airflow, NiFi, or similar.
• Develop data transformation logic for schema compliance.
• Integrate data from IoT streams, APIs, and legacy systems.
• Implement data validation and quality checks.
• Optimize pipeline performance and reliability.
• Maintain data lineage tracking and documentation.

Skills

Python

SQL

Scala

Spark

Kafka

Hadoop

Data modeling

Streaming architectures

Cloud data services

U.S. Citizenship

DoD TS clearance

Education

BS/BA in Computer Science, Data Engineering, or related field

MS/MA in related field

PhD

Tools

React 18/19

HTML

CSS

JavaScript

TypeScript

Flux CD

Kubernetes

GitLab

Node.js

Express

MarkLogic

xQuery

Job description

Peraton, a leading national security company, seeks a Data Engineer to support the DoD Cyber Defense Command at Fort Meade, MD. You will design data infrastructure, ETL pipelines, and integration solutions for analytic capabilities within Caspian and JCRS-D environments.

You'll join the Analytic Development Team and collaborate across data engineering disciplines, implementing validation, lineage, and scalable pipelines using Airflow, NiFi, Spark, and cloud services.