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: 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. Relevant experience can include some combination of: Data Loading, Data Transformation, Data Extraction, Sharing and Replication Security features, including access control, data masking and encryption Data modeling across disparate data sources with a variety of formats and structures Ontology development at a warehouse level Proficiency in at least one programming language (Python, Java, etc) for data processing and ETL scripting Proficiency in SQL including complex queries and performance optimization within cloud environments (Snowflake, AWS, Azure) Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to interface directly with customers at all levels and be a representative of TRSS. 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 timeframes.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees