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Data Engineering Lead Jobs in Minnesota (NOW HIRING)

Old National Bank

Data Engineer Lead

Lake Elmo, MN · On-site

$98K - $199K/yr

The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the ... Our Data Engineering teams work in a highly collaborative environments, engage in daily standups ...

Old National Bank

Data Engineer Lead

Lake Elmo, MN · On-site

$98K - $199K/yr

The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the ... Our Data Engineering teams work in a highly collaborative environments, engage in daily standups ...

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Lead the team. Actively recruit, hire, mentor, and grow data engineers at every level. Set clear goals. Foster a culture of ownership, curiosity, and inclusion. Create the conditions for people to do ...

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Lead the team. Actively recruit, hire, mentor, and grow data engineers at every level. Set clear goals. Foster a culture of ownership, curiosity, and inclusion. Create the conditions for people to do ...

Cargill

Manager, Data Engineering

Saint Paul, MN · On-site

Reviews existing data systems and architectures to lead identification of areas for improvement and ... Experience with data engineering on corporate finance data is strongly preferred. * CLOUD ...

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

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 ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Lead, coach, and develop a high-performing team of Data Engineers and Technical Leads * Build an engineering culture focused on quality, ownership, automation, and continuous improvement * Recruit ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Lead, coach, and develop a high-performing team of Data Engineers and Technical Leads * Build an engineering culture focused on quality, ownership, automation, and continuous improvement * Recruit ...

Indotronix International Corporation

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

You'll drive strategic initiatives, lead engineering best practices, and mentor a collaborative team of nine data engineers. This is a rare opportunity to shape the future of our data platform ...

THOMSON REUTERS

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 ... Possess a Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, Business ...

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All JobsData Engineering Lead JobsData Engineering Lead Jobs in Minnesota

Data Engineering Lead information

See Minnesota salary details

$30

$68

$93

How much do data engineering lead jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for data engineering lead in Minnesota is $68.64, according to ZipRecruiter salary data. Most workers in this role earn between $59.33 and $76.97 per hour, depending on experience, location, and employer.

What does a data engineering lead do?

A data engineering lead oversees the design, development, and maintenance of data pipelines and infrastructure to ensure reliable data flow for analytics and business needs. They coordinate with data scientists and analysts, utilize tools like SQL, Spark, and cloud platforms, and often require strong programming skills and leadership experience to manage data teams effectively.

What are Data Engineering Leads?

Data Engineering Leads are senior professionals responsible for overseeing data engineering teams and projects. They design, build, and maintain data infrastructure, ensuring data is accessible, reliable, and secure for analytics and business use. Typically, they coordinate with data scientists, analysts, and other stakeholders to define data requirements and implement best practices in data management. Their role also involves mentoring team members, choosing appropriate technologies, and ensuring the scalability and performance of data systems.

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

AspectData Engineering LeadData Engineer
Required CredentialsBachelor's or Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, related certifications optional
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data pipelines, implements data solutions, collaborates with teams
Employer & Industry UsageUsed in organizations with data teams, analytics, and BI departmentsEntry to mid-level roles in data-focused companies

The Data Engineering Lead typically oversees data projects, manages teams, and coordinates with stakeholders, requiring leadership skills and experience. Data Engineers focus on building and maintaining data pipelines and infrastructure. While both roles require similar technical skills, the Lead role involves more strategic and managerial responsibilities.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires strong technical knowledge, leadership abilities, and a track record of delivering complex data solutions.

What engineers make $300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. Compensation often depends on location, industry, company size, and additional certifications or specialized knowledge.

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

To thrive as a Data Engineering Lead, you need strong expertise in data modeling, ETL pipeline development, and database architecture, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms such as AWS or Azure, as well as certifications in these systems, is highly valuable. Excellent leadership, problem-solving, and communication skills help in managing teams and collaborating with stakeholders. These competencies ensure efficient data infrastructure development, drive data-driven decision-making, and foster innovation within organizations.

What are some common challenges faced by a Data Engineering Lead when managing large-scale data infrastructure projects?

A Data Engineering Lead often encounters challenges such as balancing short-term business needs with long-term architectural goals, ensuring data quality across multiple sources, and managing the complexity of integrating new technologies with existing systems. They also need to coordinate effectively with cross-functional teams, including Data Scientists, Analysts, and DevOps, to align on project priorities and timelines. Additionally, leading and mentoring a team of engineers requires strong communication and organizational skills to foster collaboration and continuous improvement.

Can a data engineer make 200k?

Senior data engineers with extensive experience, advanced skills in tools like Spark and cloud platforms, and certifications can reach or exceed a $200,000 salary, especially in high-cost-of-living areas or large organizations. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, leadership responsibilities, and specialization in areas like data architecture or machine learning.
What are popular job titles related to Data Engineering Lead jobs in Minnesota? For Data Engineering Lead jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Engineering Lead jobs in Minnesota look for? The top searched job categories for Data Engineering Lead jobs in Minnesota are:
Data Engineering Lead jobs near you
Infographic showing various Data Engineering Lead job openings in Minnesota as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $142,771 per year, or $68.6 per hour.
Data Engineer Lead

Data Engineer Lead

Old National Bank

Lake Elmo, MN • On-site

$98K - $199K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago

Old National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

51st of 149 rated banks

Job description

Overview
Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.
We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.
Responsibilities
Position Summary
A Cloud Data Engineer Lead is a high-level professional responsible for designing, developing, and maintaining the data architecture in our organization. This role is responsible for overseeing the technical aspects of data management, including data integration, processing, storage, and retrieval.
The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the enablement and support of our cloud data platform, creation and maintenance of data pipelines, data product development, and data governance patterns to ensure the timeliness and quality of data. The role is responsible for ensuring that data is accurate, reliable, and available to Analysts, Data Scientists, and other stakeholders within our organization.
Our Data Engineering teams work in a highly collaborative environments, engage in daily standups, operate within Agile development practices, and participate in a GitOps development model in that everything is code.
Salary Range
The salary range for this position is $98,400. - $199,000/Yr.. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled.
Key Accountabilities
Key Accountability 1: Data Engineering and Architecture Strategic Leadership
  • Provide direction for the organization's data engineering and architecture strategy.
  • Make final decisions on data infrastructure design and tool selection, balancing business needs with technical feasibility.
  • Collaborate on requirements gathering while owning the architectural vision and execution.
  • Champion data management best practices across the organization.

Key Accountability 2: Engineering Execution and Technical Implementation
  • Write production-quality code and implement scalable ETL pipelines using tools like AWS, S3, Glue, Lambda, and Databricks.
  • Apply business intelligence best practices such as dimensional modeling and distributed data processing.
  • Design, build, and maintain modern cloud-based data platforms to support enterprise data needs including integrations, analytics, and AI.

Key Accountability 3: Team Development and Cross-Functional Collaboration
  • Bootstrap and grow the data engineering team, setting standards and mentoring new members.
  • Translate business requirements into technical solutions, ensuring alignment with broader organizational goals.
  • Enable data-driven decision-making by delivering reliable analytics pipelines and insights.

Key Competencies for Position -
  • Promotes Change - Actively seeks information to understand the rationale, implications, and impact for changes. Remains agile by quickly modifying daily behavior, leveraging resources, and trying new approaches to effectively embrace change. Willing to act quickly, learn and adjust as needed. Identifies and recommends changes to leadership to improve performance. Aligns activities to meet individual, team and organizational goals
  • Strategy in Action - Breaks down larger goals into smaller achievable goals and communicates how they are contributing to the broader goal. Actively seeks to understand factors and trends that may influence role. Anticipates risks and develops contingency plans to manage risks. Identifies opportunities for improvement and seeks insights from other sources to generate potential solutions. Aligns activities to meet individual, team and organizational goals.
  • Compelling Communication - Effectively and transparently shares information and ideas with others. Tailors the delivery of communication in a way that engages the audience and that is easy to understand and retain. Unites others towards common goal. Asks for others' opinions and ideas and listens actively to gain their support when clarifying expectations, agreeing on a solution and checking for satisfaction.
  • Makes Decisions & Solves Problems - Takes ownership of the problem while collaborating with others on a resolution with an appropriate level of urgency. Collaborates and seeks to understand the root causes of problems. Evaluates the implications of new information or events and recommends solutions using decisions that are sound based on what is known at the time. Takes action that is consistent with available facts, constraints and probable consequences.

Qualifications and Education Requirements
  • S. degree in a related field and 7 to 9 years professional experience OR a total of 7 plus years' experience as Senior Data Engineer, Senior Software Engineer, or equivalent.
  • 5 plus years working in AWS Cloud (AWS Solution Architect Certification is a plus) and hybrid cloud environments.
  • 7 plus years working with data warehouse platforms.
  • Coding experience in SQL and scripting languages such as Python and Bash and expert working knowledge of the Spark platform, preferably in a cloud data platform environment such as Databricks.
  • Experience working with large and complex data sets with multi-terabyte scale is a plus.
  • Knowledge of Agile and GitOps methodologies
  • Banking experience / knowledge is a plus
  • Ability to communicate effectively, both orally and in writing, with clients and groups of employees to build and maintain positive relationships
  • Strong leadership and communication skills. You must be able to collaborate with other teams, effectively manage projects, and communicate technical information to non-technical stakeholders.

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles.
As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law.
We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.
Our culture is firmly rooted in our core values.
We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.
We are Old National Bank. Join our team!

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