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

Knowledge of data management principles, including governance, data quality, lineage, and security * 4+ years: Proficiency in Python for data engineering (Pandas, PySpark, etc.) * 3+ years:

Data Strategy-Manager

Minneapolis, MN ยท On-site

$99K - $232K/yr

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

Data Engineer - Remote

Minnetonka, MN ยท On-site +1

$116K - $140K/yr

The position operates as part of a collaborative data engineering team, working closely with fellow ... Data Quality Management: Implement comprehensive data validation rules and checks within pipelines.

Data Engineer - Remote

Minnetonka, MN ยท On-site +1

$116K - $140K/yr

The position operates as part of a collaborative data engineering team, working closely with fellow ... Data Quality Management: Implement comprehensive data validation rules and checks within pipelines.

Data Engineer - Hybrid

Eagan, MN ยท On-site

$79.10 - $89.10/hr

... data engineering components that improve scalability and maintainability Partner with business ... Hands-on Databricks experience including notebooks, workflows, and cluster management Experience ...

Data Engineer (On-Premise)

Minneapolis, MN ยท On-site

$95K - $118K/yr

Develop, manage, and monitor ETL/ELT pipelines that support operational reporting, analytics ... Establish and enforce data engineering standards, development processes, and documentation ...

Data Engineer (On-Premise)

Bloomington, MN ยท On-site

$95K - $118K/yr

Develop, manage, and monitor ETL/ELT pipelines that support operational reporting, analytics ... Establish and enforce data engineering standards, development processes, and documentation ...

Product Manager (Data Science)

Medina, MN ยท On-site

$140K - $160K/yr

Collaborate with engineering, architecture, and governance teams to support data quality, metadata consistency, security, and compliance. * Contribute to the evolution and scalability of the ...

Product Manager (Data Science)

Medina, MN ยท On-site +1

$140K - $160K/yr

Collaborate with engineering, architecture, and governance teams to support data quality, metadata consistency, security, and compliance. * Contribute to the evolution and scalability of the ...

Sr Data Engineer BI

Bloomington, MN ยท Hybrid

$120K - $130K/hr

Set and enforce data engineering standards including coding practices, version control, code ... management practices. * Implement monitoring, observability, and freshness for critical data ...

Sr Data Engineer BI

Bloomington, MN ยท On-site

$110K - $150K/yr

Set and enforce data engineering standards including coding practices, version control, code ... management practices. * Implement monitoring, observability, and freshness for critical data ...

Showing results 41-60

Manager Data Engineering information

See Carver, MN salary details

$33.2K

$104.2K

$184.4K

How much do manager data engineering jobs pay per year?

As of Aug 15, 2026, the average yearly pay for manager data engineering in Carver, MN is $104,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $134,600.00 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?

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 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.

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

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

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

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

Managing Consultant, Data Engineer - Minneapolis

Thought Logic Consulting

Minneapolis, MN โ€ข On-site

$115K - $138K/yr

Full-time

Re-posted 13 days ago


Job description

Description
Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build.

***Candidates must currently reside in or live within a commutable distance to the Minneapolis Office/Twin Cities Metro ****

The Role
We are looking for a technically skilled and motivated Data Engineer with 7-12 years of experience to join our growing Data & Analytics team. In this role, you'll work closely with cross-functional teams to build modern data pipelines, develop scalable solutions, and help clients unlock insights from their data. You’ll be supported by experienced architects and consultants while having the opportunity to grow your technical and consulting skills in a collaborative, client-facing environment.

What You'll Do
  • Build and maintain scalable, reliable data pipelines using tools like Azure Data Factory, AWS Glue, or Palantir Foundry
  • Develop ETL/ELT processes to transform and prepare raw data for reporting, analytics, and downstream applications
  • Collaborate with team members and clients to gather requirements, integrate data sources, and ensure high data quality
  • Assist in the development and optimization of data models and cloud-based data platforms (e.g., Snowflake, Databricks, Redshift)
  • Support the creation of dashboards and data visualizations using tools like Power BI or Tableau
  • Participate in testing, documentation, and deployment of data solutions to ensure performance and reliability
  • Engage in project workstreams alongside more senior team members, gaining exposure to client interaction and delivery best practices
  • Learn and apply modern data engineering and cloud practices in a variety of industries and use cases

Who You'll Work With
  • A team of collaborative, experienced consultants focused on solving complex business problems through data
  • Clients across industries who are looking to modernize their data platforms and make more informed decisions
  • Colleagues who prioritize curiosity, humility, and hands-on problem-solving
    A supportive environment where ongoing learning and mentorship are central to your professional growth

What You'll Bring
  • 7-12 years of professional experience in data engineering, analytics, or a related technical role
  • Proficiency in SQL and working knowledge of Python or another scripting language
  • Hands-on experience with ETL/ELT processes and modern data tools such as Azure Data Factory, AWS Glue, Snowflake, or Databricks
  • Familiarity with cloud environments (AWS, Azure, Palantir Foundry or similar) and data modeling concepts
  • Understanding of data integration, quality, and performance tuning principles
  • Ability to work collaboratively on fast-paced projects with a mix of technical and non-technical stakeholders
  • Strong problem-solving and communication skills
  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
  • Ability to legally work for any employer in the US without sponsorship
Bonus Points if You Have
  • Experience with tools like Apache Airflow, dbt, or Palantir Foundry
  • Familiarity with big data technologies such as Spark, Kafka, or Redshift
  • Exposure to dashboarding and visualization tools like Power BI or Tableau
  • Certifications in cloud platforms or data engineering technologies
  • Previous consulting firm experience

Why Thought Logic
  • Work on transformations that matter, not slide decks that sit on shelves
  • Real responsibility and ownership over how work gets delivered and how clients experience us
  • Direct access to firm leadership and influence over how we grow and evolve
  • A culture that values depth over optics, outcomes over activity, and people over process
  • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake