Senior Data Engineer

Thomson Reuters • Frisco, TX

1d • Hybrid

About The Position

Thomson Reuters is seeking a Senior Data Engineer in an advanced individual contributor role to develop sophisticated reporting solutions and integrate AI into reporting processes to improve data-driven decision-making. The role collaborates with diverse stakeholders to address complex business needs and delivers reporting solutions using tools including DBT, Snowflake, SQL, Power BI, Tableau, Python, Excel, PowerPoint, and Claude.AI.

The position leads data projects from conception through deployment, establishes data integrity and governance practices, and acts as a subject matter expert and technical escalation point for data analysis and reporting. It also provides mentorship and training to team members and stakeholders, communicates strategic recommendations to executive audiences, and drives continuous improvement and the adoption of emerging technologies.

This is a hybrid role. The posting is for proactive recruitment and may be used to fill current openings or future vacancies.

Requirements

• Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field.
• At least 5 years of progressive experience in data engineering or a similar role.
• Track record of leading complex reporting and dashboard projects and delivering business intelligence solutions.
• Expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python for data analysis and scripting, advanced Excel functions and modeling, and PowerPoint.
• Hands-on experience designing, implementing, and operationalizing AI solutions and machine learning algorithms to solve business problems.
• Strong analytical, critical-thinking, and problem-solving skills, including the ability to translate complex data into strategic business insights.
• Strong communication, presentation, and influencing skills, including the ability to explain technical concepts to diverse audiences and senior leadership.

Nice To Haves

• Master’s degree.
• Ability to lead technical initiatives, work autonomously, collaborate effectively, and mentor junior colleagues.
• Advanced Python or R proficiency for complex data analysis, automation, and statistical modeling.
• Expert-level SQL, Snowflake, and DBT skills for complex data extraction, manipulation, transformation, and query optimization.
• Deep understanding and practical experience with data warehousing, ETL processes, and data governance.
• Experience with emerging AI technologies such as Claude.AI, Copilot, and large language models.
• Strategic mindset and ability to connect data insights to broader business strategy and outcomes.

Responsibilities

• Lead the architecture, development, design, and maintenance of complex, interactive, and dynamic data pipelines, frameworks, and dashboards.
• Partner with senior stakeholders to define reporting needs, deliver actionable insights, and support data-informed strategies.
• Implement AI and machine learning techniques in reporting solutions to provide predictive and prescriptive insights.
• Analyze large and complex datasets to uncover trends, patterns, and anomalies that inform business decisions.
• Establish and enforce data integrity, accuracy, and governance best practices, and mentor team members on these standards.
• Provide guidance, mentorship, and training on reporting tools, analytical methods, and emerging AI technologies.
• Improve reporting processes and tools, research and implement industry trends and technologies, and contribute to the team's technical roadmap.
• Present complex findings and strategic recommendations to executive stakeholders through presentations and reports.
• Lead data projects from conception through deployment, ensuring alignment with business objectives and technical quality.
• Serve as a subject matter expert and technical escalation point for data analysis and reporting.

Benefits

• Flexible hybrid work arrangements, including work from anywhere for up to 8 weeks per year.
• Flexible vacation and paid time off, including sick and safe time and paid holidays.
• Two company-wide Mental Health Days off and access to the Headspace app.
• Health, dental, vision, disability, and life insurance.
• Retirement savings plan with company match.
• Tuition reimbursement.
• Employee incentive programs and potential annual bonus based on enterprise and individual performance.
• Resources for mental, physical, and financial wellbeing, including fitness reimbursement and access to an Employee Assistance Program.
• Parental leave and sabbatical leave.
• Two paid volunteer days off annually and opportunities for pro-bono consulting and ESG initiatives.
• Flexible Spending and Health Savings Accounts.
• Adoption and surrogacy assistance.
• Employee Stock Purchase Plan.
• Commuter benefits.
• Optional hospital, accident and sickness insurance; optional life and AD&D insurance; and group legal and identity theft protection benefits, paid by the employee.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior