Senior Data Engineer
Thomson Reuters is hiring a Senior Data Engineer. It pays $88k-$164k a year and Level rates it ; you can apply on Thomson Reuters.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- The posting mentions Claude and Copilot among its tools and skills.
- Level classes it as a senior role.
- Thomson Reuters has 481 other open roles on Level.
- Posted in the last few days.
AI in this role
Job Description
We are seeking a highly skilled and strategic Senior Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated, insightful, and visually compelling reporting solutions using tools such as DBT, Snowflake, Claude.AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint.
A critical component of this position involves pioneering the integration of advanced AI solutions into our reporting processes to significantly enhance data-driven decision-making for our stakeholders.
Strategic collaboration with diverse stakeholders is paramount to ensure our reporting solutions address complex business needs effectively.
Key Responsibilities
- Lead the architecture, development, design, and maintenance of complex, interactive, and dynamic data pipelines, frameworks and dashboards using DBT, SQL, Python, Claude.AI, Power BI, Tableau, Excel, and PowerPoint.
- Partner strategically with senior stakeholders to define complex reporting needs, deliver high-impact actionable insights, and drive data-informed strategies.
- Champion and implement advanced AI and machine learning techniques to innovate reporting solutions and provide predictive and prescriptive insights.
- Conduct in-depth analysis of large, complex datasets to uncover critical trends, patterns, and anomalies that directly inform strategic business decisions.
- Establish and enforce best practices for data integrity, accuracy, and governance across all reporting solutions, and mentor team members on these standards.
- Provide expert guidance, mentorship, and training to team members and stakeholders on advanced reporting tools, analytical methodologies, and emerging AI technologies.
- Drive continuous improvement initiatives for reporting processes and tools, proactively research and implement cutting-edge industry trends and technologies, and contribute to the team's technical roadmap.
- Articulate complex findings and strategic recommendations to executive-level stakeholders through compelling presentations and comprehensive reports.
- Lead data projects from conception through deployment, ensuring alignment with business objectives and technical excellence.
- Act as a subject matter expert and technical escalation point for data analysis and reporting within the team.
Required Qualifications
- Possess a Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field; a Master’s degree is a strong plus.
- Have 5+ years of progressive experience in data engineering or a similar role, with a proven track record of leading complex reporting and dashboard projects and delivering impactful business intelligence solutions.
- Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data analysis and scripting), Excel (including advanced functions and modeling), and PowerPoint.
- Have extensive, hands-on experience designing, implementing, and operationalizing AI solutions and machine learning algorithms to solve challenging business problems.
- Exhibit exceptional data analytical, critical thinking, and problem-solving skills, with a demonstrated ability to interpret complex data and translate it into strategic business insights.
- Possess outstanding communication, presentation, and influencing skills, with the ability to convey complex technical concepts clearly and persuasively to diverse audiences, including senior leadership.
Preferred Qualifications
- Have a proven ability to lead technical initiatives, operate with a high degree of autonomy, collaborate effectively in a team environment, and mentor junior colleagues.
- Show advanced proficiency in programming languages such as Python or R for complex data analysis, automation, and statistical modeling.
- Have expert-level skills in SQL, Snowflake, DBT, for complex data extraction, manipulation, transformation, and query optimization.
- Possess a deep understanding and practical experience with data warehousing concepts, ETL processes, data governance principles, and emerging AI technologies like Claude.AI, Copilot, Large Language Models (LLMs).
- Demonstrate a strategic mindset with the ability to connect data insights to broader business strategy and outcomes.
#LI-GK1
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.
What’s in it For You?
- Hybrid Work Model: We’ve adopted a flexible hybrid working environment 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.
Our use of AI within the recruitment process 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.
In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: 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; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $88,200 USD - $163,800 USD. For Ontario, Canada, the base compensation range for this role is $87,400 CAD - $137,400 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
Thomson Reuters makes reasonable accommodations for applicants with disabilities, including veterans with disabilities, and for sincerely held religious beliefs in accordance with applicable law. If you reside in the United States and require an accommodation in the recruiting process, you may contact our Human Resources Department at HR.Leave-Expert@thomsonreuters.com. Disability accommodations in the recruiting process may include things like a sign language interpreter, making interview rooms accessible, providing assistive technology, or other relevant accommodations. Please note this email is not intended for general recruitment questions and we will promptly respond to inquiries regarding accommodations. More information on requesting an accommodation here.
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More information about Thomson Reuters can be found on thomsonreuters.com
How we rate this
Senior Data Engineer at Thomson Reuters rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- This job starts at
- $88k
- Typical data engineer job
- $150k
This posting starts 41% below the typical data engineer job. See data engineer jobs
Questions you could be asked
- What's a project where you used Claude hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Claude and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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