Data Engineer

Job overview

The Data Engineer role is based in Washington, DC, with onsite work at customer sites and secure facilities as required, plus remote flexibility. Compensation is not specified. The engineer supports Virtualitics’ AI-native readiness applications for defense, government, and critical infrastructure. The role builds and maintains the data foundation that turns complex government and defense data into reliable inputs for AI applications. Working with machine learning, data science, platform, and security teams, the engineer helps deliver secure, scalable data workflows for customer environments.

What you'll do

• Design, build, and maintain secure data pipelines across cloud and hybrid environments
• model structured and unstructured data
• productionize data workflows and feature pipelines
• automate data quality, validation, lineage, and monitoring
• optimize storage, queries, and cost
• implement security, access controls, and governance
• support data integration in secure and disconnected environments
• investigate pipeline and performance issues
• collaborate with platform, AI, DevSecOps, and QA teams.

What we're looking for

Skills & competencies

data engineer

data pipelines

ai/ml

python

sql

aws

government data

defense

active secret clearance

washington dc

remote flexibility

virtualitics

Work arrangement

• Weekend coverage required

Benefits & perks

• Fully paid medical, dental, and vision coverage for employees and dependents
• equity participation, unlimited PTO, and flexible work arrangements.

Why this role

Requires active U.S. Government Security Clearance at SECRET or higher, a relevant bachelor’s degree, and 4+ years of data engineering or production pipeline experience; Python, SQL, Spark, relational databases, and AWS experience required.

About the employer

Virtualitics, Inc is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.