Data Engineer - AI Readiness (Secret Clearance, Remote)

Virtualitics; Washington (District of Columbia); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Unlimited PTO

Remote flexibility

Hybrid options

Job summary

Virtualitics, a leader in AI-native readiness applications, seeks a Data Engineer to build and own data foundations for our readiness platform. You will design secure pipelines, transform diverse data, and collaborate with ML, platform, and QA teams to power mission-critical insights.

You will work in a Washington, DC-based role with on-site requirements at customer sites, while enjoying remote flexibility and a focus on DoD/compliance-aligned data environments.

Qualifications

• Active US Government Security Clearance (SECRET or higher) — required.
• BS in Computer Science, Engineering, or related field.
• 4+ years of experience in data engineering, or building production data pipelines.
• Strong programming skills in Python and SQL.
• Experience with distributed data processing frameworks (e.g., Spark).
• Strong experience with relational databases (PostgreSQL, MySQL) and data modeling.
• Advanced AWS experience (S3, RDS, EMR, Lambda, IAM, CloudWatch); comfortable working within secure cloud environments.
• Experience building for data quality, validation, and observability.
• Familiarity with containerized workloads (Docker, Kubernetes) and Infrastructure as Code (Terraform).

Responsibilities

• Design, build, and maintain scalable, secure data pipelines for ingestion, transformation, and delivery across cloud and hybrid environments.
• Model and manage structured and unstructured data to support AI/ML workloads, analytics, and application features.
• Partner with Full Stack Engineers, Machine Learning Engineers, and Data Scientists to productionize data workflows, feature pipelines, and model inputs.
• Build and improve automation for data quality, validation, lineage, and monitoring.
• Optimize storage, query performance, and cost across relational and object stores.
• Implement and enforce data security, access controls, and governance in line with government and DoD compliance requirements.
• Support ingestion and integration of data within DoD and commercial customer environments, including deployments into secure and disconnected settings.
• Investigate and resolve data, pipeline, and performance issues.
• Collaborate with Platform Engineers, AI Engineers, DevSecOps, and QA to ensure reliable, scalable, and secure data architectures.

Skills

Python

SQL

Spark

Data modeling

AWS

Security clearance

Data quality

Observability

Docker

Kubernetes

Terraform

Education

BS in Computer Science, Engineering, or related field

Tools

PostgreSQL

MySQL

Airflow

dbt

Dagster

Kafka

Redshift

Databricks

Stardog

Job description

Virtualitics, a leader in AI-native readiness applications, seeks a Data Engineer to build and own data foundations for our readiness platform. You will design secure pipelines, transform diverse data, and collaborate with ML, platform, and QA teams to power mission-critical insights.

You will work in a Washington, DC-based role with on-site requirements at customer sites, while enjoying remote flexibility and a focus on DoD/compliance-aligned data environments.