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Lead Data Engineer Jobs in Minnesota (NOW HIRING)

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated ...

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated ...

This is a hands-on delivery lead role specialized in data engineering Strong communication skill to work with senior executives 20-25 years of experience in Information Technology services across ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Lead the implementation of data solutions, from discovery and design through to deployment. * Collaborate with other data engineers, fostering a culture of knowledge sharing and continuous ...

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Lead a collaborative, cross-functional team, Active participation in sprint reviews * Expert and a minimum of five year's experience in the following domains: Data management, software engineering, I ...

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Lead a collaborative, cross-functional team, Active participation in sprint reviews * Expert and a minimum of five year's experience in the following domains: Data management, software engineering, I ...

Data Engineer Principal

Bloomington, MN · On-site

$39.89 - $55.55/hr

Lead a collaborative, cross-functional team, Active participation in sprint reviews * Expert and a minimum of five year's experience in the following domains: Data management, software engineering, I ...

Responsibilities : • Lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through ...

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Showing results 1-20

Lead Data Engineer information

See Minnesota salary details

$41.6K

$121.2K

$176.8K

How much do lead data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for lead data engineer in Minnesota is $121,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a lead data engineer?

A lead data engineer is a senior technical role responsible for designing, building, and maintaining an organization’s data infrastructure and pipelines. They often oversee data teams, ensure data quality, and work with tools like SQL, Spark, and cloud platforms to support data analytics and business decision-making.

How much do lead data engineers get paid?

Lead data engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles often include expertise in big data tools like Hadoop and Spark, and may involve leadership responsibilities and advanced certifications.

How does a Lead Data Engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What are the key skills and qualifications needed to thrive as a Lead Data Engineer, and why are they important?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are Lead Data Engineers?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI models effectively. Their expertise remains critical in managing complex data environments and integrating new technologies.

What engineers make 500,000?

Lead Data Engineers and senior engineering roles in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in big data tools, cloud platforms, and leadership responsibilities. Compensation varies based on company size, location, and individual expertise.
What are popular job titles related to Lead Data Engineer jobs in Minnesota? For Lead Data Engineer jobs in Minnesota, the most frequently searched job titles are:
Lead Data Engineer

Lead Data Engineer

THOMSON REUTERS

Eagan, MN • Hybrid

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Thomson Reuters rating

8.9

Company rating: 8.9 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

17th of 428 rated business services


Job description

Lead Data Engineer
We are seeking a highly skilled and strategic Lead 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.

About the Role

In this opportunity as a Lead Data Engineer, you will:

  • 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.

About You

You're a fit for the role of Lead Data Engineer if you:

  • 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 8+ 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.

  • 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

New Position: This position is open due to an existing vacancy to support our evolving business needs.

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.

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 $110,000 USD - $204,200 USD. For Ontario, Canada, the base compensation range for this role is $118,200 CAD - $168,200 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 atHR.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.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com


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