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Thomson Reuters

Software Engineer

Thomson Reuters

. Develop cutting-edge data platform capabilities .

Posted 9/17/2026full-timeEagan • Minnesota • United StatesMid-LevelSenior💰 $76,200 - $141,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and implementing large-scale data platforms using Java, Python, and AWS, while ensuring data quality and operational excellence. Proficient in collaborating with cross-functional teams to translate data capabilities into market-ready solutions.

Highest-signal resume keywords
Java DevelopmentPython ProgrammingData Pipeline EngineeringAWS Cloud InfrastructureSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingETL/ELT SystemsAPI DevelopmentSoftware Development Lifecycle (SDLC)Data Quality FrameworksDistributed Data ProcessingPerformance OptimizationTesting FrameworksCloud Cost OptimizationObservability
Soft Skills
CollaborationStakeholder EngagementCross-Functional Teamwork
Tools & Technologies
SnowflakeCursorClaudeTerraformCloudFormationDockerKubernetes
Industry Keywords
LegalTaxAccountingRegulated IndustriesData Publishing Workflows

Tech Stack

Tools & technologies
AWSCloudDockerETLJavaKubernetesPythonSDLCSQLTerraform

About the role

Key responsibilities & impact
  • Develop cutting-edge data platform capabilities
  • Develop across the entire publishing stack, from content ingestion and storage through efficient delivery to downstream systems
  • Collaborate with stakeholders, product leadership, and cross-functional teams to design, build, and scale enterprise-grade data systems
  • Work with Product Management, Technology, and Labs teams to enable customer features and products
  • Develop and implement solutions using Java, Python, Snowflake, AWS cloud infrastructure, and modern data engineering practices
  • Develop large-scale, cloud-native data pipelines and publishing systems processing billions of records
  • Evaluate emerging data engineering techniques, lead proofs of concept, and shape long-term data platform roadmaps
  • Ensure data quality, observability, and operational excellence through testing frameworks, performance optimization, monitoring, and security/compliance governance
  • Translate data capabilities into application features and market-ready content workflows

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science/Engineering
  • Proven hands-on engineering background with expertise in Python, data pipelines, and production-grade ETL/ELT systems
  • Experience delivering production-grade software through the full Software Development Lifecycle (SDLC), including requirements definition, design, implementation, testing, deployment, and ongoing maintenance
  • Proficiency with AI-assisted development tools, including Cursor and/or Claude, is required
  • Capabilities in SQL, data modeling, distributed data processing, data quality frameworks, and cloud cost/performance optimization
  • Solid software engineering fundamentals including API development, testing, design patterns, and Git workflows
  • Experience with data publishing workflows and content delivery systems preferred
  • Domain expertise in legal, tax, accounting, or other regulated industries preferred
  • Experience with investigative platforms or systems that search and analyze large-scale public and proprietary records preferred
  • Experience with infrastructure as code (Terraform, CloudFormation) preferred
  • Docker/Kubernetes/Terraform experience is a bonus

Benefits

Comp & perks
  • Flexible hybrid working environment
  • Work from anywhere for up to 8 weeks per year
  • Flexible vacation
  • Two company-wide Mental Health Days off
  • Access to the Headspace app
  • Retirement savings
  • Tuition reimbursement
  • Employee incentive programs
  • Resources for mental, physical, and financial wellbeing
  • Two paid volunteer days off annually
  • Pro-bono consulting project opportunities
  • ESG initiative opportunities
  • Health, dental, vision, disability, and life insurance programs
  • 401(k) plan with company match
  • Sick and safe paid time off
  • Paid holidays, including two company mental health days off
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident and sickness insurance
  • Optional life and AD&D insurance
  • Flexible Spending and Health Savings Accounts
  • Fitness reimbursement
  • Employee Assistance Program
  • Group Legal Identity Theft Protection benefit
  • 529 Plan access
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Employee Stock Purchase Plan
  • Annual Bonus based on enterprise and individual performance (role may be eligible)