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Data Engineer Manager Jobs in Wisconsin (NOW HIRING)

WI · On-site

$109.40 - $145.80/hr

Architect and manage high‑throughput event streaming solutions utilizing Apache Kafka and Amazon ... Document data engineering processes, standards, and best practices to promote adoption across teams.

WI · On-site

$120 - $160/hr

As a Data Engineer, you will work with customers and internal stakeholders to understand their ... Time Management: Can generally use time effectively and is working towards improving task ...

WI · On-site

$120 - $160/hr

As a Data Engineer, you will work with customers and internal stakeholders to understand their ... Time Management: Can generally use time effectively and is working towards improving task ...

WI · On-site

$93 - $119/hr

Reporting to the DX manager, this role partners closely with IT, Construction Operations, Finance ... The Data Engineer designs and maintains integrations and data pipelines that improve project ...

WI · On-site

$120 - $180/hr

Engineer solutions using PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools ... Preferred: experience with data management, governance, security, master data management, and ...

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Watertown, WI

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire ... Strong communication and stakeholder management skills. * Ability to work independently and lead ...

New

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Lead Data Engineer Location: Madison, WI (Hybrid) Duration: 6+months C2H (Contract to Hire ... Strong communication and stakeholder management skills. * Ability to work independently and lead ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Communicate regularly with Engagement Managers (Directors), project team members, and ...

Data Engineer

Appleton, WI · On-site

$110 - $150/hr

From the governance and management of data through to analytics and automation, our integrated ... Position Summary The Data Engineer will be responsible for designing, building, and maintaining ...

New

WI · On-site

$90 - $130/hr

We are looking for a Data Engineer to design, build and maintain the data pipelines, data architectures and data management solutions that power dotOcean's maritime and defense systems. Working at ...

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we offer custom talent solutions to help our clients meet their evolving technology and business needs. We ...

Data Engineer

Appleton, WI · On-site

$111K - $134K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

Data Engineer

West Bend, WI · Hybrid

$115K - $139K/yr

Associate or bachelor's degree preferred in Computer Science, Information Management, Data Science ... engineering or business intelligence roles * 3-5 years of SQL experience * Ability to work ...

Data Engineer

West Bend, WI · Hybrid

$111K - $134K/yr

Associate or bachelors degree preferred in Computer Science, Information Management, Data Science ... engineering or business intelligence roles * 3-5 years of SQL experience * Ability to work ...

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Showing results 1-20

Data Engineer Manager information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data engineer manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer manager in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

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 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 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.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Wisconsin?

The most popular types of Data Engineer jobs in Wisconsin are:

What job categories do people searching Data Engineer Manager jobs in Wisconsin look for?

The top searched job categories for Data Engineer Manager jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Engineer Manager jobs?

Cities in Wisconsin with the most Data Engineer Manager job openings:

Infographic showing various Data Engineer Manager job openings in Wisconsin as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

$109.40 - $145.80/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Key responsibilities

  • Deliver trusted data sets and services from complex data sources to support DTN customers and internal stakeholders.

  • Design, build, and maintain batch and real-time streaming data pipelines and ingestion processes.

  • Support the development and delivery of modern data and analytics architecture through batch and streaming data integration, acquisition, and management solutions.


Job description

Job Description

DTN is seeking a results‑driven Senior Data Engineer to support the ingestion, quality, integrity, reliability, and governance of data across our enterprise platforms. This role plays a critical part in advancing DTN’s modern batch and real‑time streaming data architecture while enabling customers and internal stakeholders to leverage trusted, scalable, and secure data solutions.

Responsibilities
  • Deliver trusted data sets and services from complex data sources and environments to support DTN customers and internal stakeholders.
  • Support the development and delivery of modern data and analytics architecture through batch and streaming data integration, acquisition, and management solutions.
  • Design, build, and maintain batch and real‑time streaming data pipelines and ingestion processes that ensure data quality, reliability, and scalability.
  • Architect and manage high‑throughput event streaming solutions utilizing Apache Kafka and Amazon Kinesis.
  • Support customer and partner data infrastructure needs by troubleshooting technical issues and optimizing data environments.
  • Contribute to the continuous improvement of data management standards, practices, and architectural patterns.
  • Document data engineering processes, standards, and best practices to promote adoption across teams.
  • Ensure data governance, security, and compliance requirements are incorporated into solution delivery.
  • Identify opportunities to automate processes, reduce complexity, and improve operational efficiency through innovative data solutions.
  • Develop reference architectures, standards, and documentation to support consistent approaches to data acquisition, transformation, storage, and analytics consumption.
Qualifications
  • 7+ years of data engineering experience with batch and streaming pipelines, data ingestion, ETL/ELT processes, or 2+ years of software engineering experience.
  • Proven experience designing and implementing streaming data architectures, message brokering, and real‑time event processing using Apache Kafka and AWS Kinesis.
  • 4+ years of cloud experience, preferably across multiple cloud platforms.
  • Strong programming skills in Python or other modern development languages such as Java or Go.
  • Experience with ETL processes, SQL development, and data transformation workflows.
  • Experience working with relational databases such as Oracle, PostgreSQL, or MySQL.
  • Experience with AWS cloud services and cloud‑based data platforms such as Snowflake or AWS‑native solutions.
  • Ability to design solutions that support data transformation, governance, workload management, and complex data structures.
  • Experience with cloud architectures, highly available systems, and scalable solutions.
  • Familiarity with Agile development methodologies and CI/CD practices.
  • Experience with Docker and Kubernetes environments.
  • Bachelor’s degree in Computer Science or equivalent experience.
Additional Qualifications
  • Experience with stream processing frameworks such as Apache Flink or Spark Streaming.
  • Experience with front‑end technologies such as React, Angular, or Vue.
  • Experience developing RESTful APIs using Node.js or Python.
  • Experience consuming REST and GraphQL APIs.
  • Strong understanding of source control and versioning practices using Git.
  • Experience supporting enterprise data and analytics platforms in cloud‑native environments.
Benefits and Compensation
  • Competitive Salary (Targeted hiring base pay range: $109,400 – $145,800).
  • Unlimited PTO.
  • Flexible working hours.
  • Remote work model (position dependent).
  • Competitive Medical, Dental and Vision Insurance Plans.
  • 6% 401K matching.
  • Unlimited access to 13,000+ courses via learning platform to support employee career advancement.
  • Employee Assistance Program (EAP).
  • Opportunity for market‑competitive variable pay and benefits.
Equal Opportunity Employer

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.

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