Senior Data Engineer - ETL/AI Pipelines (Hybrid)

Colvin Run; Virginia, United States, Northern America, Americas; Hybrid; USD 150,000 - 185,000; Full time

Job summary

Colvin Run Networks in Northern Virginia is seeking a Senior Data Engineer to design and operate data pipelines that feed dashboards and AI models for national security missions. You will own data quality from source to screen, blending engineering with hands-on analysis.

Responsibilities include building ETL/ELT pipelines, modeling data in lakes and warehouses, exposing data through APIs, and enforcing governance and security controls, while collaborating with analytics and software engineers.

Qualifications

• Bachelor's degree in a related field.
• 8+ years of relevant experience.
• Production experience building and running ETL or ELT pipelines.
• Strong SQL and Python skills.
• Experience with relational databases and data lakes/warehouses.
• Experience building APIs or service layers that expose data.
• Experience applying data quality, security, and governance controls.
• U.S. citizen eligible for Top Secret clearance.

Responsibilities

• Build pipelines: Design, build, and monitor ETL/ELT pipelines moving data from sources into shared stores.
• Model the data: Configure databases, data lakes or warehouses, and feature stores; write transformations.
• Serve the data: Expose data and model outputs via APIs and service layers.
• Measure mission performance: Provide data behind readiness and performance measures.
• Protect data quality: Implement data quality checks, lineage tracking, and governance.
• Analyze with the team: Collaborate with analysts and engineers to identify patterns to build.

Skills

SQL

Python

Relational Databases

Data Lake/Warehouse

APIs

Data Governance

Security

Education

Bachelor's degree

Tools

Databricks

Spark

AWS

Azure

Job description

Colvin Run Networks in Northern Virginia is seeking a Senior Data Engineer to design and operate data pipelines that feed dashboards and AI models for national security missions. You will own data quality from source to screen, blending engineering with hands-on analysis.

Responsibilities include building ETL/ELT pipelines, modeling data in lakes and warehouses, exposing data through APIs, and enforcing governance and security controls, while collaborating with analytics and software engineers.