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Data Engineer Manager Jobs in Madison, WI (NOW HIRING)

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$44.9K

$130.8K

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How much do data engineer manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer manager in Madison, WI is $130,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,600.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

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

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Madison, WI?

The most popular types of Data Engineer jobs in Madison, WI are:

What are popular job titles related to Data Engineer Manager jobs in Madison, WI?

For Data Engineer Manager jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Madison, WI look for?

The top searched job categories for Data Engineer Manager jobs in Madison, WI are:

What cities near Madison, WI are hiring for Data Engineer Manager jobs?

Cities near Madison, WI with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Madison, WI as of August 2026, with employment types broken down into 55% Full Time, and 45% Temporary. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $130,798 per year, or $62.9 per hour.

Collibra Data Governance Developer

Techvilla Solutions

Waunakee, WI

Full-time

Posted 17 days ago

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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