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Data Engineer Security Clearance

Job in Burlington, Chittenden County, Vermont, 05401, USA
Listing for: Thomson Reuters Special Services LLC
Full Time position
Listed on 2026-06-10
Job specializations:
  • IT/Tech
    Data Security, Data Science Manager, Data Engineer, Cybersecurity
Job Description & How to Apply Below
Position: Data Engineer with Security Clearance
Job Description
Summary and Description Thomson Reuters Special Services (TRSS) is looking for a Data Engineer to support our Federal Law Enforcement customers. TRSS Data Engineers and Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset.

TRSS supports the full range of Federal Law Enforcement missions including, but not limited to:
Immigration Enforcement, Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. Outside of contract work, you may contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings. This opportunity is specifically for positions located on US Government customer sites in the Burlington, VT area.

This is not a telework position. If you are passionate about the chance to put your skills to practice in support of Federal Law Enforcement, then we are looking for you! ​ About the Role A successful candidate must possess the following minimum qualifications. Please ensure your resume and application clearly demonstrate that you have:
United States Citizenship (essential to comply with government contract requirements). Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment. Willingness to work full time, on-site, embedded at US Government offices in the Burlington, VT area. Bachelor’s or Master’s Degree in a technical field At least 3 years of relevant experience, including some combination of:
Proficiency in at least one programming language (Python, Java, R, etc), including creating programs for ETL, data pipelines, and entity resolution Proficiency in multiple variants of SQL, including complex queries, table and view creation, and database performance tuning

Experience with managing enterprise databases and warehouses, particularly MS SQL Server, Databricks, Snowflake Data modeling across disparate data sources with a variety of formats and structures Ability to interface directly with customers at all levels and be a representative of TRSS. Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to work both independently and as a member of a team.

Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and deliver actionable results within required time frames. Additional Desired Skills

Experience with Cloud data platforms (Azure, AWS, Snowflake, etc.)

Experience with formal SDLC (Software Development Life Cycle) procedures

Experience with version control software and methodology, preferably Github

About you:

​ Preference will be given to candidates who possess the minimum qualifications and the following preferred qualifications. Please ensure your resume and application clearly demonstrate that you have:
Current/Active government work suitability or security clearance. Experience working with law enforcement agencies. Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL.

Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.
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