TS/SCI Data Engineer – Secure ETL & Analytics

Noblis, Inc.; Reston, Northern (VA, KY); Hybrid; USD 91,000 - 142,000; Full time

Job summary

Noblis, Inc. in Reston, Virginia is seeking a Data Engineer with TS/SCI clearance and a Polygraph to join our team on critical national security missions.

You will design and maintain data pipelines, perform ETL, and apply Python-based workflows to ingested data across secure environments. Responsibilities include building scalable data ingestion, cleansing, and transformation pipelines, optimizing SQL queries, and creating dashboards with Tableau or Power BI.

Qualifications

• Bachelor’s degree with 3+ years of related experience or higher
• Experience ETL development for data pipelines in cyber environments
• Proficiency in Python, SQL, data warehousing and data management
• Experience with NiFi, Pentaho, Kafka and data visualization tools
• Cloud experience (GCP/AWS) and containerization skills (Docker/Kubernetes)
• Familiarity with the cyber domain and API development
• U.S. Citizenship and TS/SCI clearance with polygraph required

Responsibilities

• Develop, maintain, and execute data extraction pipelines across environments
• Engineer Python-based ETL to ingest, cleanse, and optimize large datasets
• Prepare data using Python/SQL for analytics and reporting
• Design dashboards with Tableau/Power BI and optimize SQL queries
• Load data into databases/data warehouses and maintain data infrastructure
• Collaborate with data scientists, cyber analysts, and developers in Agile teams

Skills

Python

ETL

SQL

Data warehousing

Tableau/Power BI

Education

Bachelor’s degree

Master’s degree

Associate’s degree

High School diploma/GED

Tools

NiFi

Pentaho

Kafka

Tableau

Power BI

Docker

Kubernetes

GitHub

Job description

Noblis, Inc. in Reston, Virginia is seeking a Data Engineer with TS/SCI clearance and a Polygraph to join our team on critical national security missions.

You will design and maintain data pipelines, perform ETL, and apply Python-based workflows to ingested data across secure environments. Responsibilities include building scalable data ingestion, cleansing, and transformation pipelines, optimizing SQL queries, and creating dashboards with Tableau or Power BI.