Senior Data Engineer & Architect for AI Platforms (TS/SCI)

Koniag Services, Inc.; Washington, Northern (District of Columbia, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid time off

Paid parental leave

Life and disability insurance

Flexible spending accounts

Commuter benefits

Tuition reimbursement

Job summary

Koniag Professional Services, LLC seeks a Principal Data Engineer with a TS/SCI eligible security clearance to support a government customer in Washington, DC. This senior role leads enterprise-scale data environments enabling AI, ML, and analytics, working with DoW stakeholders to ensure secure data integration across environments.

The candidate will architect scalable data platforms, guide data governance, and collaborate with engineers, cybersecurity, and mission teams to deliver

Qualifications

• TS/SCI eligible with security clearance required.
• 10–15+ years designing enterprise-scale data solutions.
• Expert Python and SQL for data engineering.
• Experience with cloud data architectures (AWS/Azure) and data governance.

Responsibilities

• Lead enterprise data architectures across classified and unclassified environments.
• Design and implement scalable ETL/ELT pipelines and data products.
• Collaborate with data scientists, cybersecurity, and mission stakeholders.
• Define technical direction, standards, and modernization opportunities.

Skills

Python

SQL

Data engineering

Big data platforms

AWS/Azure cloud

Communication

Education

Bachelor’s degree in CS/DS/Engineering

Tools

Apache Spark

Databricks

Kafka

Airflow

Kubernetes

Terraform

Job description

Koniag Professional Services, LLC seeks a Principal Data Engineer with a TS/SCI eligible security clearance to support a government customer in Washington, DC. This senior role leads enterprise-scale data environments enabling AI, ML, and analytics, working with DoW stakeholders to ensure secure data integration across environments.

The candidate will architect scalable data platforms, guide data governance, and collaborate with engineers, cybersecurity, and mission teams to deliver