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Manager Data Engineering Jobs in Minnesota (NOW HIRING)

Champion data management best practices across the organization. Key Accountability 2: Engineering Execution and Technical Implementation * Write production-quality code and implement scalable ETL ...

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Senior Artificial Intelligence Data Engineer

Edina, MN · On-site

$109K - $148K/yr

... management, query performance, deployments, and operational workflows. * Collaborate with data engineering, analytics, platform, governance, and business teams to establish reusable, scalable, and ...

Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

You will serve as a technical leader within the engineering organization while partnering closely ... Architect andoptimizedata models, schemas, storage solutions, and data lifecycle management ...

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

Data Engineering & Pipeline Development * Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage large-scale data ingestion, transformation, and ...

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

Data Engineering & Pipeline Development * Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage large-scale data ingestion, transformation, and ...

Sr Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology ... Initiate and manage efforts to improve data quality, operational efficiency, and process ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Engineer Principal

Bloomington, MN · On-site

$39.89 - $55.55/hr

Data management, software engineering, I&O (infrastructure and operations) PREFERRED QUALIFICATIONS: * Knowledge of health care operations * Exposure to agile/scrum * Ability to work in a hybrid ...

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Manager Data Engineering information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do manager data engineering jobs pay per year?

As of Jul 4, 2026, the average yearly pay for manager data engineering in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are the most commonly searched types of Data Engineering jobs in Minnesota? The most popular types of Data Engineering jobs in Minnesota are:
What are popular job titles related to Manager Data Engineering jobs in Minnesota? For Manager Data Engineering jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Minnesota look for? The top searched job categories for Manager Data Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Manager Data Engineering jobs? Cities in Minnesota with the most Manager Data Engineering job openings:
Data Engineer Lead

$98K - $199K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


Old National Bank rating

8.0

Company rating: 8.0 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description

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.


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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