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Manager Data Engineering Jobs in Sun Prairie, WI

Husch Blackwell LLP

Enterprise Data Analyst

Madison, WI · On-site +1

Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics Data Management & Quality * Partner with the Data Engineering team to source, integrate, and validate ...

Husch Blackwell Llp

Enterprise Data Analyst

Madison, WI · On-site +1

Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics Data Management & Quality * Partner with the Data Engineering team to source, integrate, and validate ...

ApartmentIQ

Senior Software Engineer - Data

Madison, WI · On-site

$123K - $162K/yr

Work closely with Product and Application Engineering to ensure new datasets unlock measurable ... Manage Roadmap Execution: Lead the delivery of data milestones by defining goals, tracking progress ...

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Showing results 41-60

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Sun Prairie, WI

Manager Data Engineering information

See Sun Prairie, WI salary details

$30.2K

$94.5K

$167.3K

How much do manager data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager data engineering in Sun Prairie, WI is $94,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $122,100.00 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 popular job titles related to Manager Data Engineering jobs in Sun Prairie, WI?

For Manager Data Engineering jobs in Sun Prairie, WI, the most frequently searched job titles are:

What cities near Sun Prairie, WI are hiring for Manager Data Engineering jobs?

Cities near Sun Prairie, WI with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Sun Prairie, WI as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $94,516 per year, or $45.4 per hour.

Collibra Data Governance Developer

Techvilla Solutions

Stoughton, WI • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an experienced Collibra Data Governance Developer to administer, customize, and enhance the Collibra data catalog platform. The ideal candidate will work closely with business stakeholders to understand data management processes, translate requirements into platform workflows, and develop solutions to support data governance initiatives.

This role will focus on Collibra platform configuration, workflow development, API integrations, user and asset administration, and automation using Java-based technologies. The candidate should have strong experience in data governance, data management concepts, workflow design, and application customization.

Primary Responsibilities
  • Administer and customize the Collibra Data Governance platform based on business and user requirements.
  • Configure and maintain users, roles, assets, domains, and security within Collibra.
  • Design and implement workflows using BPMN-based workflow engines such as Flowable or Activiti.
  • Develop and configure Java APIs and integrations to connect Collibra with external data sources and enterprise applications.
  • Collaborate with stakeholders to analyze business processes and translate requirements into scalable workflow solutions.
  • Customize user interfaces and optimize platform usability.
  • Support automation initiatives using scripting and programming languages including Java, Groovy, and Python.
  • Perform platform enhancements, troubleshooting, and ongoing administration activities.
  • Apply data governance and data management best practices to support enterprise data initiatives.
Required Qualifications
  • 5+ years of experience with Java and JavaScript API development.
  • 5+ years of experience with UI customization and optimization.
  • 5+ years of experience with workflow development and business process mapping.
  • 5+ years of experience in data governance, data management, or data catalog environments.
  • Experience working with Collibra platform administration and customization.
  • Strong understanding of REST APIs, integrations, and application workflows.
  • Experience with Java development tools such as Eclipse.
  • Experience with BPMN workflow frameworks (Flowable, Activiti, or similar).
Preferred Qualifications
  • Experience with Groovy scripting.
  • Python development experience.
  • Experience supporting enterprise data governance programs.
  • Knowledge of data cataloging, metadata management, and data stewardship concepts.
  • Strong analytical, problem-solving, and stakeholder communication skills.
Technical Skills
  • Collibra Data Governance Platform
  • Java
  • JavaScript
  • REST APIs
  • Groovy
  • Python (Nice to Have)
  • Eclipse
  • BPMN Workflow (Flowable / Activiti)
  • Data Governance
  • Metadata Management
  • Data Management

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