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Manager Data Engineering Jobs in Shakopee, MN (NOW HIRING)

Spscommerce

Data Platform Manager II

Minneapolis, MN · Hybrid

This role ensures that data engineers' efforts align with business objectives, follow best ... Plan, manage, and support theselectionand use of data platform technologies, working closely with ...

Radiant Digital

Senior Data Product Manager

Saint Paul, MN · On-site

$127K - $168K/yr

Minimum Qualifications * 4-7 years of experience in Data management, data analytics, data engineering, or related fields. * Demonstrated Product leadership skills and ability to work in ambiguity.

New

SPS Commerce Inc

Data Platform Manager II

Minneapolis, MN · On-site

$134 - $170/hr

This role ensures that data engineers' efforts align with business objectives, follow best ... Plan, manage, and support the selection and use of data platform technologies, working closely with ...

Infojini

Data Product Manager

Saint Paul, MN · On-site

... engineering, data science, and business strategy that help mature data practices and teams and ... Product Managers at guide products through the full lifecycle--from ideation and design to ...

Apogee

Data Platform Engineer

Minneapolis, MN · On-site

$80K - $100K/yr

Configure and implement data management and analytic platform changes * Document data pipeline ... Bachelor's in computer science, Engineering, or a related field * 3-5 years of experience in data ...

VIVA USA INC

Data Product Manager

Saint Paul, MN · On-site

Partnering closely with data engineering, data science, analytics, and business policy and ... Product Managers at client guide products through the full lifecycle-from ideation and design to ...

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All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Shakopee, MN

Manager Data Engineering information

See Shakopee, MN salary details

$33.1K

$103.8K

$183.9K

How much do manager data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager data engineering in Shakopee, MN is $103,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $134,200.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

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.

What are the key skills and qualifications needed to thrive as a manager data engineering?

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.

How does a manager 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 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 most commonly searched types of Data Engineering jobs in Shakopee, MN?

The most popular types of Data Engineering jobs in Shakopee, MN are:

What are popular job titles related to Manager Data Engineering jobs in Shakopee, MN?

For Manager Data Engineering jobs in Shakopee, MN, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Shakopee, MN look for?

The top searched job categories for Manager Data Engineering jobs in Shakopee, MN are:

What cities near Shakopee, MN are hiring for Manager Data Engineering jobs?

Cities near Shakopee, MN with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Shakopee, MN as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 2% Temporary, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $103,841 per year, or $49.9 per hour.

Data Platform Manager II

Spscommerce

Minneapolis, MN • Hybrid

Full-time

Posted 5 days ago

Job description

Description:

SPS Commerce is a leading provider of cloud-based supply chain management solutions, serving a global network of retail trading partners. We foster a collaborative and inclusive work environment where innovation and continuous improvement are highly valued. Join SPS Commerce and be part of a dynamic team that's transforming the global retail supply chain!

Position Summary:The Data Platform Manager is a key contributor to the SPS data strategy and oversees a team of data engineers responsible for the infrastructure and operations that support the organization's data collection, storage, processing, and access. This role ensures that data engineers' efforts align with business objectives, follow best practices, and support the organization's broader data goals.

Key Responsibilities:

  • SPS data strategy:Collaborate with the Data & AI Solutions Director and Solution Architect to document current state, set the vision for the future state, and ensure execution against the strategic plan.

  • Data infrastructure & operations:Plan, manage, and support theselectionand use of data platform technologies, working closely with the engineering team and Solution Architect to onboardnew technologyand introduce new processes, ensuring seamless integration with other systems and applications.

  • Continuous improvement:Manage the day-to-day operations of data systems and foster a culture of continuous improvement across the team; drive automation through monitoring and tooling to enhance efficiency and reduce delivery lead time, including implementing observability frameworks such as metrics, logging, and tracing.

  • Technical guidance:Provide hands-on technical leadership and design/code reviews, ensuring adherence to engineering best practices, coding standards, and security protocols.

  • Incident & problem management:Manage and resolve technical issues affecting data pipelines and infrastructure to minimize downtime, implementing proactive measures to prevent recurring problems.

  • Collaboration &communication:Coordinate with managers and departments across Enterprise Systems and business units, developing strategies tooptimizedata operations and support enterprise AI and analytics initiatives. Communicatefrequentlyand effectively, ensuring alignment with business goals and user expectations.

  • Staff management:Establish goals and manage performance for a team of data engineers, guiding the team in designing scalable and maintainable data solutions and fostering a collaborative, high-performing, data-driven culture, including supporting team members through evolving skill sets and role expectations in an increasingly agentic environment.

  • Financial oversight:Manage budgets and schedules for the Data Platform team's projects and initiatives.

Required Qualifications:

  • Education:Bachelor's degree in Computer Science, Information Technology, Data Engineering, ora relatedfield.

  • Proven experience:At least 5-7 years of experience in data engineering, pipeline development, and data infrastructure architecture.

  • Team leadership:At least 3 years of experience managing data platform projects and teams, with examples of performance monitoring, incident management, and continuous improvement practices.

  • Leadership skills:Strong leadership and managerial skills, with excellent problem-solving and decision-making abilities.

  • Data platforms:Experience with cloud data platforms and modern data warehousing technologies (e.g., Snowflake).

  • Integration tools:Experience with data integration and middleware tools (e.g., Informatica), APIs, and queuing systems.

  • Communication:Effective communication and collaboration skills to work with various stakeholders, with the ability to convey complex technical information to non-technical audiences.

Preferred Qualifications:

  • Bachelor's degree in Computer Scienceor a related field and a minimum of 10+ years of related experience, or equivalent.

  • Professional certifications in data management, analytics, and governance (e.g., Certified Data Management Professional (CDMP), Certified Information Systems Security Professional (CISSP)).

  • Experience implementing observability frameworks (metrics, logging, tracing) for data systems.

  • Experience leading teams through agentic or AI-driven transformation, including evolving roles and operating models.

  • Experience with data governance, cataloging, and data quality tooling (e.g., Atlan, Alation).

  • Experience in Retail or Supply Chain technology solutions.


Location:

This role follows a hybrid work model, with regular in-office presencerequiredat our Minneapolis, MN office.


What We Offer:

At SPS Commerce, we are committed to ensuring that each employee's compensation reflects their unique experiences, performance, and skills in their role. The salary range for this role considers several factors, including education, relevant skills, work history, certifications, location, and more.

The annual salary range for this role is: $133,800.00-$170,000.00 + bonus & equity. The actual salary offered will bedeterminedbased on the factors listed above and may fall anywhere within the range.

Additionally, you may also be eligible toparticipatein an annual incentive program. An incentive award, if granted, is based on individual and/or organizational performance.

SPS Commerce offers a comprehensive benefits package designed to support employees' health, well-being, and financial security. Benefits are country-specific and aligned with local laws and market practices.

#LI-TB1

Commitment to our Employees:

At SPS we power connections that drive the world of commerce forward, and our success depends on making strong decisions, fostering innovation, delivering unparalleled customer solutions, and driving outstanding business performance. We achieve this by creating an environment where every employee feels a true sense of belonging. We embrace diversity, equity, and inclusion, ensuring everyone feels accepted, valued, and empowered to make a meaningful impact.

We are committed to affirmative action and equal opportunity in all aspects of employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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