# Data Engineer at Thomson Reuters

Thomson Reuters is hiring a Data Engineer. It pays $94k-$175k a year and Level rates it Little AI ●○○○; you can [apply on Thomson Reuters](https://jobsbylevel.com/go/a82c42af-5a11-4bfa-8af8-93d7a5b8cf3e?utm_medium=ai-agent).

AI Level 1, AI centrality 34 out of 100. United States of America, McLean, Virginia.

## Details

- Company: [Thomson Reuters](https://jobsbylevel.com/companies/thomson-reuters)
- AI level: AI Level 1 (score 34 out of 100)
- Location: United States of America, McLean, Virginia
- Salary: $94k-$175k
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/a82c42af-5a11-4bfa-8af8-93d7a5b8cf3e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-engineer-at-thomson-reuters-96ae0b

## Description

Job Description **This Data Engineer position requires work to be performed onsite full time in the Crystal City, VA location.** As a Data Engineer, you will support the implementation of internal and external data-enabled solutions for Thomson Reuters Special Services (TRSS). This role requires hands-on technical expertise in the cleaning, integration, extraction, analysis, and delivery of structured and unstructured data. You will collaborate closely with teams across the technology organization, including Product Development, Software Engineering, Data Science, and Business Development. The role also includes direct customer engagement to implement and support existing and new applications at customer locations. Key Responsibilities Work directly with internal teams and customer technology staff to implement and support custom TRSS client solutions and Proofs of Concept (POCs). Design, build, and support data pipelines and workflows that improve the usability and efficiency of internal and external data sets. Support and continuously improve internal processes, including opportunities for robotic process automation. Provide solution architecture support for business opportunities. Provide technical expertise and guidance to leadership regarding customer technology requirements and infrastructure. Understand and interpret unique client requirements and missions and develop custom solutions to integrate TRSS content into client applications. Support customer-facing implementations and provide technical support for deployed solutions. Collaborate across Product Development, Software Engineering, Data Science, and Business Development teams. Required Qualifications Several years of data engineering experience. Bachelor’s degree in Computer Science, Engineering, or a related field. Experience implementing and customizing technical solutions, preferably for government clients. Proficiency in multiple programming languages, particularly Python and SQL. Experience with RESTful web services and modern data communication technologies. Experience connecting to and querying relational and document-oriented databases. Comfortable working in both GUI and command-line environments using Linux and Windows. Understanding of common data structures and formats, including flat files, XML, JSON, and graph structures. Familiarity with cloud-based infrastructure, including AWS. Strong technical, analytical, and communication skills. Self-starter with a results-oriented approach and strong personal work ethic. Ability to work effectively under pressure and adapt to dynamic and changing requirements. Strong ethical and professional standards. Must have the ability to obtain and maintain a national security clearance. Preferred Qualifications Understanding of network troubleshooting techniques and communication protocols. Experience with information retrieval and storage technologies such as AWS Glue and Snowflake. Experience working with connected data and graph databases. Experience with workflow management tools; Apache NiFi experience is a plus. Understanding of public records and open-source data. Experience with data visualization tools such as Power BI or Tableau. Robotic Process Automation (RPA) experience. Experience working in virtualized environments. Ability to stand up and configure local virtual machines and locally hosted web applications. #LI-SW1 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-at-thomson-reuters-96ae0b

Source: https://jobsbylevel.com/jobs/data-engineer-at-thomson-reuters-96ae0b

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