Data Engineer – AI Readiness for Defense (Remote)

Virtualitics, Inc; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Healthcare coverage

Unlimited PTO

Remote flexibility

Hybrid options

Job summary

Virtualitics, Inc. is seeking a Data Engineer in Washington, DC to build and own data pipelines for AI-native readiness applications across DoD and government environments.

You will work closely with ML engineers, data scientists, and platform teams to transform diverse data into reliable inputs for our platform, while navigating secure facilities as required. This role requires an active US government security clearance, a CS/engineering degree, and 4+ years in data engineering, with strong

Qualifications

• Active US Government Security Clearance (SECRET or higher) required.
• BS in Computer Science, Engineering, or related field.
• 4+ years of data engineering experience building production data pipelines.
• Strong programming in Python and SQL.
• Experience with distributed data processing (Spark).
• Strong relational database experience (PostgreSQL, MySQL) and data modeling.
• Advanced AWS experience (S3, RDS, EMR, Lambda, IAM, CloudWatch).
• Experience with data quality, validation, observability.
• Familiarity with Docker, Kubernetes and Infrastructure as Code (Terraform).

Responsibilities

• Design, build, and maintain scalable data pipelines across cloud and hybrid environments.
• Model and manage structured and unstructured data for AI/ML workloads and analytics.
• Collaborate with engineers to productionize data workflows and model inputs.
• Build automation for data quality, validation, lineage, and monitoring.
• Optimize storage, query performance, and costs across stores.
• Enforce data security, access controls, and governance per DoD/compliance.
• Support ingestion in DoD and commercial environments, including secure settings.
• Investigate and resolve data, pipeline, and performance issues.
• Collaborate with Platform, AI, DevSecOps, and QA to ensure reliable data architectures.

Skills

Active US Government Security Clearanc

Python

SQL

4+ years data engineering

Spark

PostgreSQL

MySQL

AWS

Terraform

Docker

Kubernetes

Airflow

dbt

Dagster

Data warehousing

Real-time data

Education

BS in Computer Science, Engineering, or related field

Tools

Spark

PostgreSQL

MySQL

AWS

S3

RDS

EMR

Lambda

IAM

CloudWatch

Docker

Kubernetes

Terraform

Airflow

dbt

Dagster

Job description

Virtualitics, Inc. is seeking a Data Engineer in Washington, DC to build and own data pipelines for AI-native readiness applications across DoD and government environments.

You will work closely with ML engineers, data scientists, and platform teams to transform diverse data into reliable inputs for our platform, while navigating secure facilities as required. This role requires an active US government security clearance, a CS/engineering degree, and 4+ years in data engineering, with strong