Data Engineer

• Are you passionate about the chance to bring your engineering experience to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad? Do you have the skills necessary to support the delivery of structured and unstructured data
  ? Then Thomson Reuters Special Services (TRSS) is looking for you!

  About the role:

• What You'll Do: As a Data Engineer you will be responsible for supporting the effective implementation of internal and external data enabled solutions supporting the Thomson Reuters Special Services (TRSS) organization. This role requires practical technology applications skills involving the cleaning, integration, extraction, analysis and delivery of structured and unstructured data. This role works closely with other teams across the technology organization and other business units, including the product development and software engineering teams, the data science team, and often pre and post-sales support of the business development team.
  
  The role will also have a customer facing component, involving direct implementation and support of existing or new applications at customer locations. As the Data Engineer
  , you will also contribute to a variety of areas including:

• Work directly with internal resources as well as customer technology staff to implement and support custom TRSS client solutions and POCs
• Design, build and support data pipelines and workflows designed to maximize the usefulness and efficiency of internal and external data sets being brought to bear on customer issues
• Support and continually improve internal processes, including automation and AI integrations where applicable
• Provide solution architecture support for business opportunities
• Provide input to leadership teams using technical expertise and knowledge of customer technology requirements and infrastructure
• Understand and interpret unique client requirements and mission and provide custom solutions to integrate TRSS content into client applications

• About You:

  You're a good fit for the role of Data Engineer if you have:

• Minimum 2-3 years of data engineering or related experience
• Bachelor's degree in Computer Science, Engineering, or related field
• Experience leading the implementation and customization of technical solutions, preferably for government clients
• Proficiency in multiple programming languages (particularly interested in python, Java but other languages could be useful as well)
• Experience with Restful web services and current data communications technologies
• Experience connecting to and querying a variety of relational and document-oriented databases
• Comfortable in GUI and command line environments in Linux and Windows OS
• Basic understanding of common data structures including flat files, XML, JSON, graph structures etc.
• Familiarity with cloud-based infrastructure, including AWS
• Passionate, smart, and articulate technologist
• Self-starter and results oriented
• Must possess a strong personal work ethic
• Must be of superior moral and ethical character
• Must be able to operate under pressure with dynamic and changing requirements
• Ability to obtain and maintain a U.S. national security clearance

• You're a GREAT fit for the role of Data Engineer if you also have:

• High level understanding of network troubleshooting techniques and communications protocols
• Experience with information retrieval technologies such as Lucene and Elastic Search
• Experience with connected data and graph databases
• Experience with workflow management tools, NIFI experience a plus
• Understanding of public records and open source data
• Experience working with data visualization tools (Power BI/Tableau, etc)
• Robotic Process Automation experience
• Understanding of public records and open source data
• Experience working in virtualized environments, including the ability to stand up and configure a local virtual machine with locally hosted web applications

• #LI-SW1

What's in it For You?

• Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) 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 better work-life balance.

• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.

• Industry Competitive Benefits: We offer comprehensive benefit plans to include…