TS/SCI Data Engineer - AI-Ready Data Integration

Cornerstone Defense; Fairfax (VA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, Dental and Vision Plans

Generous PTO Policy

401(k)

Job summary

Cornerstone Defense is seeking a Chief Data Engineer to support one of our Intelligence customers in McLean, VA. This role focuses on integrating diverse data sources and enabling advanced analytics across IC programs. You will design scalable data pipelines and mentor junior staff.

Ideal candidates have TS/SCI with CI Polygraph, 8+ years in data engineering, and hands-on experience with Hadoop, Spark, and cloud platforms.

Qualifications

• 8+ years of experience in data engineering.
• Active TS/SCI with CI Polygraph is required.
• Experience integrating data from diverse sources.
• Strong ETL and data normalization experience.
• Experience with Hadoop, Spark and cloud services.
• Proficient in Python and SQL.
• Excellent communication and teamwork.
• Experience in IC or government environments.

Responsibilities

• Integrate data from a wide range of data sets with varying formatting and tagging standards.
• Normalize and standardize data for AI/ML analytics.
• Collaborate with cross-functional teams and stakeholders.
• Develop and maintain data pipelines, ETL processes, and data integration workflows.
• Ensure data quality and accuracy.
• Stay current with emerging data engineering technologies.
• Provide guidance to non-technical team members.
• Create and maintain documentation for data integration workflows.

Skills

Python

SQL

Data integration

ETL

Data normalization

Communication

Team collaboration

Problem solving

Education

Bachelor's in CS/DS/Engineering

Advanced degree preferred

Tools

Hadoop

Spark

AWS

Azure

GCP

Apache NiFi

Talend

Job description

Cornerstone Defense is seeking a Chief Data Engineer to support one of our Intelligence customers in McLean, VA. This role focuses on integrating diverse data sources and enabling advanced analytics across IC programs. You will design scalable data pipelines and mentor junior staff.

Ideal candidates have TS/SCI with CI Polygraph, 8+ years in data engineering, and hands-on experience with Hadoop, Spark, and cloud platforms.