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Manager Data Engineering Jobs in Minnesota (NOW HIRING)

Cambria

Data Engineering Manager

Belle Plaine, MN

Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and empowers decision-making with reliable, scalable, accessible data. In this role, you will serve as both ...

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and empowers decision-making with reliable, scalable, accessible data. In this role, you will serve as both ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Develop and manage data solutions to ensure efficient data storage, retrieval, and cost ... Platform Engineering and Automation * Build and maintain CI/CD pipelines for the automated testing ...

Pwc

Data Engineer - Manager

Minneapolis, MN

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Deloitte

Data Engineering Leader

Minneapolis, MN · On-site

As a Data Engineering Leader you will serve as both the visionary architect and driving force ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Accelint

Data Engineer

Saint Paul, MN · On-site

$101K - $130K/yr

Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer ...

Ryan Companies

Senior Data Engineer

Minneapolis, MN · On-site

$111K - $139K/yr

... data engineering solutions. Some things you can expect to do: * Architect, build, and maintain ... Implement and manage both batch and real-time data streaming pipelines to ensure timely and ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Minnesota

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 Jun 9, 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:
Manager Data Engineering jobs near you
Manager, Data Engineering

Manager, Data Engineering

Post Consumer Brands

Lakeville, MN • On-site

Full-time

Posted 6 hours ago

Post Consumer Brands rating

8.0

Company rating: 8.0 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

75th of 380 rated food and drinks producers

Job description

Business Unit Overview
Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.
Location Description
Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America.
Responsibilities
Manager, Data Engineering
Location: Hybrid in Lakeville, MN
About the Role
At Post Consumer Brands, data is a strategic asset and the Manager, Data Engineering plays a pivotal role in shaping how we turn data into insight, impact, and innovation. This role leads the design, development, and operation of our modern data engineering foundation, powering trusted analytics, self-service reporting, and AI-ready data products across the enterprise.
You'll lead a team of data engineers responsible for building high-quality, scalable data pipelines, data models, and semantic layers that support critical business decisions. Acting as both a people leader and technical leader, you'll balance delivery speed, reliability, and forward-looking modernization, while partnering closely with Analytics Solutions, Architecture, Governance, and business stakeholders.
This role reports to the Associate Director of Data & Analytics and serves as a key technical leader within our evolving, product-oriented data ecosystem.
Key Responsibilities
Data Engineering Foundation & Delivery
  • Lead the design, development, and maintenance of data pipelines, data models, semantic models, and data platforms aligned to enterprise standards
  • Deliver curated, durable, and reusable data assets aligned to priority business decision domains
  • Ensure timely, accurate, and reliable availability of data across enterprise analytics use cases

Technical Design & Scalability
  • Partner with Data & Analytics Architecture to align solutions with enterprise standards and best practices
  • Ensure platforms and pipelines are scalable, performant, maintainable, and adaptable
  • Make informed tradeoff decisions across performance, cost, and delivery speed

Modern Data Ecosystem Enablement
  • Build AI/ML-ready and product-oriented data engineering capabilities
  • Engineer low-latency and real-time data pipelines for operational analytics and intelligent applications
  • Develop ingestion and processing frameworks for structured and unstructured data

Data Trust, Reliability & Operational Readiness
  • Embed data quality, documentation, lineage, and observability into data assets
  • Ensure production-grade reliability and operational readiness in partnership with Governance and D&A Operations

Enablement of Analytics & Self-Service
  • Partner with Analytics Solutions to enable BI, advanced analytics, and data science
  • Deliver trusted, well-modeled semantic layers that empower self-service analytics

Team Leadership & Capability Development
  • Lead, mentor, and develop a team of on-shore data engineers and coordinate with off-shore partners
  • Foster a culture of engineering excellence, accountability, and continuous improvement
  • Drive adoption of modern tools, practices, and AI-enabled engineering workflows

Operational Excellence & Continuous Improvement
  • Translate enterprise priorities into executable delivery plans
  • Balance speed, quality, and sustainability across delivery and operations
  • Leverage automation and AI tools to improve efficiency and code quality

Qualifications
What We're Looking For
Required Qualifications
  • 5+ years of experience in data engineering, data warehousing, or related disciplines
  • 2+ years of experience leading data engineering teams and enterprise-scale platforms
  • Strong experience with modern cloud data stacks (e.g., Snowflake, dbt, ELT tools)
  • Proven expertise in data modeling, including dimensional and domain-oriented/semantic models
  • Experience building production-grade pipelines with testing, monitoring, and CI/CD
  • Familiarity with data quality, observability, and governance practices
  • Experience leveraging AI tools to accelerate engineering workflows
  • Strong collaboration, communication, and stakeholder-management skills
  • Bachelor's Degree REQUIRED in a technical or quantitative field (advanced degree preferred)

Preferred Qualifications
  • Experience in CPG, manufacturing, supply chain, or commercial analytics
  • Experience in federated or product-oriented data operating models
  • Exposure to real-time streaming, generative AI, LLM-enabled analytics, or RAG architectures
  • Working knowledge of metadata, lineage, access controls, and data governance concepts
  • Strong business acumen and comfort operating in ambiguity

Why You'll Love This Role
At Post Consumer Brands, you'll find big company opportunity with a small company attitude, the chance to work with iconic brands and enterprise-scale data, while still having the autonomy to make meaningful impact. You'll help shape a modern, AI-ready data foundation, lead and grow a talented engineering team, and directly influence how data drives smarter decisions across the business.
We value curiosity, ownership, and outcomes. You'll be trusted to build clarity, elevate standards, and move the organization forward, while being supported by a collaborative, growth-oriented culture that respects work-life balance and personal development.
Ready to Make an Impact?
If you're excited to lead, build, and modernize data engineering capabilities that power real business outcomes and you thrive in an environment where your ideas and leadership truly matter, we'd love to hear from you! Apply today and help shape the future of data at Post Consumer Brands.
The pay range for this position is $102,931 - $152,338 per year.

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