Staff Software Engineer

Thomson Reuters • Eagan, MN

2d • Hybrid

About The Position

We are seeking a talented, self-driven and highly motivated Staff Data Engineer, with experience working with and developing large data solutions to join our Public Records Publishing and Derived Authorities team. As a Staff Software Engineer, Public Records and Derived Authorities, you will play a role in development of cutting-edge data platform solutions and drive technical strategy. Leading development across the entire publishing stack, from content ingestion and storage through to efficient delivery to downstream systems. You will collaborate with senior stakeholders, product leadership, and cross-functional teams to design, build, and scale enterprise-grade data systems that transform how our organization delivers value to customers. You will work closely with Product Management, Technology, and our Labs teams to enable our customers to build successful features and products to take their business to the next level. You will be developing and implementing solutions using Python, Snowflake, AWS cloud infrastructure, and modern data engineering practices, while leading and mentoring a team of talented engineers.

Requirements

• Bachelor’s degree in Computer Science/Engineering (Master’s preferred) with 8+ years in software and data engineering, including 4+ years in senior or lead roles.
• Proven hands‑on engineering background with expertise in Python, data pipelines, and production-grade ETL/ELT systems.
• Demonstrated experience delivering production‑grade software through the full Software Development Lifecycle (SDLC), including requirements definition, design, implementation, testing, deployment, and ongoing maintenance.
• Deep experience with Snowflake (Python stored procedures, performance tuning, data modeling) and AWS data engineering services (S3, Lambda, Glue, Step Functions).
• Strong 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, Git workflows; bonus for Docker/Kubernetes/Terraform.
• Strong understanding of data governance, security, compliance, and managing large-scale datasets, migrations, and orchestration workflows.
• Demonstrated technical leadership, excellent communication, ability to translate business requirements, and experience working in Agile/Scrum environments.

Nice To Haves

• Experience with other modern data platforms or cloud data warehouses (Databricks, BigQuery, Redshift)
• Experience with data publishing workflows and content delivery systems
• Domain expertise in legal, tax, accounting, or other regulated industries, particularly with investigative platforms or systems that search and analyze large-scale public and proprietary records
• Track record of successful data platform launches and scaling data systems to enterprise customers
• Knowledge of data mesh or modern data architecture patterns
• Experience with infrastructure as code (Terraform, CloudFormation)

Responsibilities

• Design and lead large‑scale, cloud‑native data pipelines and publishing systems—processing billions of records using Snowflake, Python, and AWS services.
• Architect scalable data processing strategies, including stored procedures, transformation logic, orchestration, and enterprise data platform standards.
• Drive technical innovation, evaluating emerging data engineering techniques, leading proofs of concept, and shaping long‑term data platform roadmaps.
• Provide senior technical leadership, making architectural decisions, translating business needs into scalable solutions, and mentoring engineers at all levels.
• Ensure data quality, observability, and operational excellence through testing frameworks, performance optimization, monitoring, and governance for security/compliance.
• Lead cross‑functional collaboration with Product, Engineering, and Labs teams to translate data capabilities into application features and market‑ready content workflows.
• Oversee optimization of large‑scale data processing across latency, cost, and resource efficiency, driving continuous improvements to data infrastructure.
• Serve as a thought leader representing best practices in data engineering, influencing strategy, feature development, and organizational standards.

Benefits

• 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
• Hybrid Work Model
• Flex My Way policies
• Work from anywhere for up to 8 weeks per year
• Grow My Way programming
• Market competitive health, dental, vision, disability, and life insurance programs
• Competitive 401k plan with company match
• Competitive vacation, 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 paid 100% by the employee
• Optional life and AD&D insurance paid 100% by the employee
• Flexible Spending and Health Savings Accounts
• Fitness reimbursement
• Access to Employee Assistance Program
• Group Legal Identity Theft Protection benefit paid 100% by employee
• Access to 529 Plan
• Commuter benefits
• Adoption & Surrogacy Assistance
• Access to Employee Stock Purchase Plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees