ETL Data Engineer (TS/SCI) - On-Site, Python & Pipelines

MSCCN; Chantilly (VA); On-site; USD 91,000 - 189,000; Full time

Job summary

Noblis seeks Data Engineers to support national security missions, focusing on Python-based ETL and data workflows. Responsibilities include building pipelines, data cleansing, and dashboarding with Tableau/Power BI in a classified IC environment.

On-site role with strong emphasis on data infrastructure and cross-functional collaboration. The ideal candidate has extensive Python experience, data warehousing know-how, and familiarity with cloud/container tech.

Qualifications

• Requires US Citizenship and TS/SCI with Polygraph
• Experience building ETL pipelines for data in cyber environments
• Proficient in data warehousing, data management, Python, and ETL tools
• Familiarity with cyber domain and SQL-based data systems
• Experience with Tableau and/or Power BI dashboards
• Experience with cloud environments (GCP/AWS) and containerization
• Experience with Git-based workflows
• Ability to perform API service development

Responsibilities

• Develop, maintain, and execute data extraction pipelines across environments
• Engineer Python-based ETL pipelines to ingest, clean, and optimize large datasets
• Prepare data using Python and SQL for analytics and reporting
• Design and deploy dashboards in Tableau/Power BI
• Optimize SQL queries to improve data handling performance
• Load data into databases or data warehouses
• Build and maintain data infrastructure (NiFi, Pentaho, Hevo)
• Document ETL workflows and data movement changes
• Collaborate with data scientists, engineers, and developers in Agile environments

Skills

Python

ETL

SQL

Data Warehousing

Tableau

Power BI

Apache NiFi

Pentaho

Kafka

Docker

Kubernetes

GitHub

Education

Bachelor’s degree

Associate’s degree

High School diploma/GED

Tools

Tableau

Power BI

Apache NiFi

Pentaho

Kafka

Docker

Kubernetes

GitHub

Job description

Noblis seeks Data Engineers to support national security missions, focusing on Python-based ETL and data workflows. Responsibilities include building pipelines, data cleansing, and dashboarding with Tableau/Power BI in a classified IC environment.

On-site role with strong emphasis on data infrastructure and cross-functional collaboration. The ideal candidate has extensive Python experience, data warehousing know-how, and familiarity with cloud/container tech.