Data & Analytics (ml-enabled Systems)

Thomson Reuters

New York City, NY, USA
Base: $146,800 - $272,600 usd (us locations); $140...
Hybrid (2-3 days a week in the office)
Python and sql programming skills
Snowflake and aws cloud platform experience
Designing scalable etl/elt pipelines
Thomson Reuters is seeking a Data Engineer to join their AI data, evaluation, and governance team, focusing on building data infrastructure for AI-powered legal products. The role involves designing data pipelines, implementing analytics systems, and ensuring data quality and governance standards. This position offers a hybrid work model and a robust benefits package, emphasizing career development and work-life balance

Job Summary

  • This role focuses on building the data infrastructure that powers cutting-edge AI evaluation systems for Thomson Reuters' legal products.
  • The team collaborates across Legal, Tax & Accounting, Government, and Reuters News segments to drive long-term research and innovation.
  • Employees enjoy a hybrid work model, comprehensive benefits including mental health days, and opportunities for career growth through continuous learning programs.

Matching Summary

Match Score: 85

Thomson Reuters is seeking a Data Engineer to join their AI data, evaluation, and governance team, focusing on building data infrastructure for AI-powered legal products. The role involves designing data pipelines, implementing analytics systems, and ensuring data quality and governance standards. This position offers a hybrid work model and a robust benefits package, emphasizing career development and work-life balance.

Salary

Base: $146,800 - $272,600 USD (US locations); $140,000 - $175,000 CAD (Ontario); Bonus: Eligible for Annual Bonus; Benefits: Comprehensive health, dental, vision, 401k match, flexible vacation, tuition reimbursement

Skills & Requirements

Must-have

  • Python and SQL programming skills
  • Snowflake and AWS cloud platform experience
  • Designing scalable ETL/ELT pipelines
  • Data warehousing and modeling expertise
  • Power BI dashboard development

Nice-to-have

  • Experience with LLM applications and generative AI
  • Familiarity with real-time data processing
  • Knowledge of legal industry compliance requirements
  • Background in building self-service analytics tools
  • Understanding of AI model observability practices

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 8+ years of professional experience in data engineering
  • Strong background in data governance and security best practices

Work Rights

Not specified

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