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Cleared ETL Data Engineer; Multi-Level); TS​/SCI w​/poly) Chantilly, VA

Job in Chantilly, Fairfax County, Virginia, 22021, USA
Listing for: VetJobs
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 90700 - 188725 USD Yearly USD 90700.00 188725.00 YEAR
Job Description & How to Apply Below

Job Description

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. Unless specifically stated otherwise, this role is "On-Site".

Cleared ETL Data Engineer (Multi-Level)
  • TS/SCI with Polygraph
  • Chantilly, VA
  • Posted Salary Range USD $90,700.00 - USD $ /Yr.

Noblis is seeking Data Engineers at multiple levels to join our team in support of national security missions.

As the ETL Developer, you analyze our clients’ challenges and provide solutions by identifying and applying new tools and technologies to help design new data repositories. You will be responsible for maintaining and expanding the data pipeline that fuels critical national security missions and manipulating data and data flows for both existing and new systems. You will provide support in the areas of data extraction, transformation and load (ETL), data mapping, data extraction, analytical support, operational support, database support, and maintenance support of data and associated systems.

Additionally, you will work alongside our team and cyber analysts performing data engineering to identify data sets.

The ideal candidate will have a deep background in Python-based data workflows and experience working in classified IC environments.

Job Responsibilities
  • Developing, maintaining, and executing data extraction pipelines to transport data in and out of multiple environments.
  • ETL Development and Data Cleansing:
    Engineering Python-based ETL pipelines to ingest, clean, and optimize large datasets from various sources, refining data quality and processing efficiency.
  • Data Preparation:
    Applying Python and SQL for data cleaning, integration, and exploratory analysis to uncover valuable insights extracted from large volumes of data.
  • Data Visualization:
    Designing and deploying interactive dashboards and reporting in visualization tools (e.g., Tableau, Power BI)
  • Improving application performance by optimizing and executing SQL queries to support data handling.
  • Loading data into storage systems like databases or data warehouses.
  • Building and maintaining data infrastructure (e.g., NiFi, Pentaho, Hevo).
  • Maintaining and documenting ETL workflows and recording data movement/changes.
  • Working in an Agile environment to rapidly iterate with our clients.

    Cross-functional collaboration:

    Partner closely with data scientists, data engineers, and application developers to translate complex business requirements into robust technical implementations.
Minimum Education Required

Bachelors

Required Qualifications
  • US Citizenship is required
  • Clearance:
    Active Top-Secret SCI (TS/SCI) with Polygraph
  • Experience performing extract, transformation, load (ETL) development for data pipelines (specifically cyber data); to include integrating, cleansing, and preparing data from sources for analytics and reporting.
  • Proficient in data warehousing, data management, programming (e.g., Python), and ETL tools (e.g., Apache NiFi, Pentaho, Kafka).
  • Familiarity with the cyber domain.
  • Experience designing and maintaining SQL-based data systems and crafting complex queries.
  • Experience designing and deploying interactive dashboards and integrating data systems with visualization and analytics platforms using Tableau and/or Power BI.
  • Experience with a cloud environment (e.g., GCP, AWS), including its security containerization technologies (e.g., Docker, Kubernetes).
  • Language experience with Python.
  • Experience with Git-based workflows and code repository platforms such as Git Hub.
  • Ability to perform API service development.
Level II
  • Bachelor’s degree with 3…
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