Staff Software Engineer

About the role

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.
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.
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.
Develop and implement solutions using Python, Snowflake, AWS cloud infrastructure, and modern data engineering practices, while leading and mentoring a team of talented engineers.

Core Responsibilities

• Design and lead large-scale, cloud-native data pipelines and publishing systems—processing billions of records using Snowflake, Python, and AWS services.
• Arcitect 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.

About You

We're seeking an experienced engineer with strong hands-on development skills who has worked extensively with large datasets and modern data platforms. We need senior developers who can architect, build, and optimize data solutions using Snowflake and AWS services. You should be equally comfortable writing Python code, developing stored procedures, optimizing data pipelines, and designing scalable data architectures. Strong software engineering fundamentals, data modeling expertise, and production data platform experience are essential. You are a fit for the position if your background includes:

• 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).
• Proficiency with AI-assisted development tools, including Cursor and/or Claude, is required.
• 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.

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 flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Thomson Reuters

Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role.