Senior Data Engineer - AI/ML Ready, TS/SCI

Cornerstone Defense LLC; Fairfax (VA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Generous PTO

401(k)

Job summary

Cornerstone Defense LLC in McLean, VA seeks a seasoned Chief Data Engineer to support an Intelligence community customer. Lead data integration, normalization and data quality efforts to enable advanced analytical methods across diverse data sources.

The role requires TS/SCI with CI Polygraph, a Bachelor's in CS/Engineering/Data Science, and 8+ years of data engineering experience. Build and maintain ETL pipelines using Hadoop, Spark, and cloud platforms (AWS/Azure/GCP), mentor teammates, and

Qualifications

• Active TS/SCI with CI Polygraph is required.
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field; advanced degree preferred.
• Minimum of 8 years of experience in data engineering or closely related field.
• Experience integrating data from diverse sources with varying formats and tagging standards.
• Strong understanding of data normalization and ETL processes.

Responsibilities

• Integrate data from a wide range of data sets with varying formats and tagging standards.
• Normalize and standardize data for analytics and AI/ML methods.
• Develop and maintain data pipelines, ETL processes, and integration workflows.
• Ensure data quality, consistency, and accuracy throughout integration.
• Collaborate with cross-functional teams to understand data requirements.

Skills

Python

SQL

ETL pipelines

Education

Bachelor's degree in Computer Science, Data Science, or Engineering

Tools

Apache NiFi

Talend

Hadoop

Spark

AWS

Azure

GCP

Job description

Cornerstone Defense LLC in McLean, VA seeks a seasoned Chief Data Engineer to support an Intelligence community customer. Lead data integration, normalization and data quality efforts to enable advanced analytical methods across diverse data sources.

The role requires TS/SCI with CI Polygraph, a Bachelor's in CS/Engineering/Data Science, and 8+ years of data engineering experience. Build and maintain ETL pipelines using Hadoop, Spark, and cloud platforms (AWS/Azure/GCP), mentor teammates, and