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Security-Cleared ETL Developer; TS​/SCI

Job in McLean, Fairfax County, Virginia, USA
Listing for: Vantor
Full Time position
Listed on 2026-05-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Security-Cleared ETL Developer (TS/SCI)

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.

Export

Control/ITAR

Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Responsibilities
  • Design, develop and manage ETL workflows using Apache NiFi to support a geospatial visualization platform
  • Learn the nuances of the existing NiFi system and the related AWS and Postgre

    SQL infrastructure in order to monitor and troubleshoot real time issues
  • Obtain an understanding of existing NiFi flows with minimal support from others
  • Develop new NiFi flows that adopt best practices of existing NiFi flows
  • Take feedback on NiFi flows and develop requested changes
  • Take direction and communicate status via a ticketing system
  • Interface with analysts via email, chat, and in person meetings to comprehend future data flow needs and refine general requirements into specific actions
  • Interface with a development cycle using a local development environment of containerized infrastructure and version control via Git and NiFi Registry
  • Gain competency in geospatial database design and employ best practices for table creation, indexing, and unique constraints
  • Take feedback from analysts on nuances to support application data layers
  • Programmatically manipulate and transform data from multiple sources
  • Query and analyze large datasets using SQL
  • Retrieve and process data from external systems via APIs
  • Support data quality, integrity, and performance optimization efforts
  • Understand Python and data science frameworks while differentiating between experimental prototypes and enterprise level software requirements
  • Develop Python in support of data science related efforts or ETL prototypes
Minimum Qualifications
  • Experience:

    Bachelor’s degree with 8+ years of relevant experience, OR Master’s degree with 7+ years of experience, OR Doctorate with 6+ years of experience
  • Degree in Computer Science, Systems Engineering, Geography, or a related technical field
  • Active TS/SCI clearance with required polygraph
  • U.S. Citizenship required
  • Willingness to work onsite full-time
  • Willingness to develop NiFi flows using existing best practices
  • Strong understanding of ETL concepts and best practices
  • Strong experience with databases for data management
  • Proficiency in SQL for querying large datasets
  • Experience with API integration and data retrieval
  • Demonstrated experience with programmatic data manipulation
  • Competency to rapidly adopt containerized development proficiency
  • Competency to rapidly adopt AWS architecture proficiency
  • Competency to rapidly adopt NiFi registry and Git for code management
Preferred Qualifications
  • Creativity to experiment and recommend best practice coding improvements
  • Drive to adopt and recommend AI into development processes
  • Ability to design and develop custom NiFi processors using Java
  • Experience with AWS cloud services for data ingestion and processing
  • Strong experience with Postgre

    SQL for data management
  • Hands-on experience with Apache Airflow
  • Hands-on experience with Apache Ni Fi
  • Hands-on experience with NiFi registry and Git
  • Hands-on experience with Git and repository actions and pull requests
  • Hands-on experience in Python for data manipulation and API interfacing
  • Experience working with geospatial data and related tool
  • Understanding of basic data science concepts and tools
Pay Transparency

The base pay for this position within the Washington, DC metropolitan area is: $ - $ annually.

Benefits

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:

EEO Policy

Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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