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Manager Data Engineering Jobs in Anoka, 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 Anoka, MN

Manager Data Engineering information

See Anoka, MN salary details

$31.6K

$99.1K

$175.4K

How much do manager data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager data engineering in Anoka, MN is $99,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $128,000.00 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 job categories do people searching Manager Data Engineering jobs in Anoka, MN look for?

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

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

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

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Anoka, MN as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $99,055 per year, or $47.6 per hour.

Data Product Manager (Contractor) MNSITE-3838

RE/SPEC Inc.

Saint Paul, MN • On-site, Remote

Full-time

Posted 5 days ago

Job description

Company Description

Big challenges need bold thinkers.

If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

At RESPEC, you’ll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.

We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in.

We do not accept unsolicited resumes from third-party recruiters.

Job Description

RESPEC is seeking an experienced, strategic Data Product Manager to champion a major state enterprise modernization initiative supporting the Minnesota Department of Information Technology Services (MNIT) and the Department of Children, Youth, and Families (DCYF). In this role, you will lead the evolution of core human services data into scalable, secure, and governed data products that power the "Whole Family" approach.

You will act as the key bridge between executive stakeholders, data engineering, data science, and operational teams, driving the transition from legacy mainframe platforms to cutting-edge cloud data lakes and modern curation architectures. Your leadership will directly impact public health and human services delivery by turning raw enterprise data into trusted, consumable assets for decision-makers and frontline personnel.

Core Responsibilities

As a Data Product Manager at RESPEC, you will guide data products through their complete lifecycle—from initial ideation and architecture alignment to deployment, user adoption, and ongoing optimization:

  • Product Strategy & Roadmap: Partner with Enterprise Architecture, technical leads, and agency leadership to define the product vision, prioritize backlogs, and link data capabilities directly to state business outcomes.
  • Modernization & Lifecycle Delivery: Spearhead the migration of data pipelines from legacy mainframe environments to modern lakehouse platforms, ensuring robust data lineage, metadata cataloging, and automated data quality frameworks.
  • Cross-Functional Collaboration: Partner directly with data engineering and data science teams to build scalable pipelines, analytical models, and reusable data services in Databricks and modern cloud tools.
  • Stakeholder Enablement & Analytics: Collaborate with analytics teams to implement interactive dashboards and KPI frameworks in Tableau, Power BI, and Looker while establishing metrics that quantify data product adoption and impact.
  • Governance & Ethical Data Use: Champion robust data privacy, governance, and ethical AI standards within a regulated human services framework, ensuring strict alignment with state and federal compliance policies.
  • Knowledge Transfer & Mentorship: Lead structured knowledge transfer sessions and documentation to ensure internal teams maintain long-term operational excellence.
    Qualifications

    Required Technical Experience

    To be successful in this role, candidates must demonstrate the following foundational qualifications:

    • 4+ Years of Professional Data Experience: Proven background in data management, data engineering, data analytics, or technical product management.
    • Data Systems & Modeling: Strong hands-on understanding of relational and non-relational database systems, SQL, ETL/ELT pipelines, data warehousing, and modern data lakehouse architectures.
    • Product Leadership: Demonstrated experience managing digital or data products through the full development lifecycle, translating ambiguous business requirements into clear technical specifications and user stories.
    • Stakeholder Management: Excellent verbal and written communication skills with a proven ability to translate complex technical concepts into business-friendly terms for executive leadership.

    Preferred Qualifications

    • Databricks Expertise: Extensive hands-on experience designing or managing workflows within the Databricks platform.
    • Modern Analytics & Transformation Stack: Working familiarity with dbt as well as visualization tools such as Tableau, Power BI, Looker, or Google Analytics.
    • Programming Literacy: Fundamental understanding of Python and/or Java for data processing and platform development.
    • Public Sector / Regulated Industries: Prior experience working with large public sector agencies, healthcare, human services, or other highly regulated environments managing enterprise data sharing agreements and statistical reporting.
    • Internal Platform Development: Proven success building developer-facing data products or enterprise data meshes.

    Additional Information

    Work Model

    • Model: Remote or Hybrid. Candidates must be available during regular business hours of 7:00 AM – 6:00 PM Central Time, Monday through Friday.
    • Client Office Location: Department of Children, Youth, and Families (DCYF), 444 Lafayette Rd N, St. Paul, MN 55155.
    • Geographic Requirement: All candidates must be physically located within the United States.

    All your information will be kept confidential according to EEO guidelines.

    All your information will be kept confidential according to EEO guidelines.