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Fabric Data Engineer Jobs in Appleton, WI (NOW HIRING)

TEKsystems

Cloud Platforms Engineer

Oshkosh, WI

$35 - $50/hr

The role will involve building templated AI foundry services, containers, managed services, and interacting with Fabric and Data Lake. Client The Cloud Platforms Engineer is responsible for designing ...

Michels

Staff Data & AI Governance Manager

Neenah, WI · On-site

$120 - $180/hr

We are consistently ranked among the top 10% of Engineering News-Record's Top 400 Contractors * Our ... Familiarity with modern data platforms and governance tooling such as Microsoft Fabric, Databricks ...

New

kiinc

IT Application Manager

Green Bay, WI · On-site

Lead, coach, and develop a team of software developers. * Oversee the design, development ... data and AI platforms and tools. Expertise in Microsoft technologies including .net, Azure, Fabric ...

All JobsFabric Data Engineer JobsFabric Data Engineer Jobs in Appleton, WI

Fabric Data Engineer information

See Appleton, WI salary details

$43.4K

$126.5K

$173.1K

How much do fabric data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for fabric data engineer in Appleton, WI is $126,509.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $134,100.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

What are the key skills and qualifications needed to thrive as a Fabric Data engineer, and why are they important?

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Fabric Data Engineer jobs in Appleton, WI?

For Fabric Data Engineer jobs in Appleton, WI, the most frequently searched job titles are:

What job categories do people searching Fabric Data Engineer jobs in Appleton, WI look for?

The top searched job categories for Fabric Data Engineer jobs in Appleton, WI are:

Fabric Data Engineer jobs near you
Infographic showing various Fabric Data Engineer job openings in Appleton, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,450 per year, or $59.4 per hour.

IT Manager - Data Platform & Engineering

Michels Corporation

Neenah, WI • On-site

$140 - $180/hr

Other

Medical, Dental, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

IT Manager - Data Platform & Engineering

Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as an IT Manager of Data Platform & Engineering can change yours.

The IT Manager of Data Platform & Engineering leads the development and evolution of Michels’ enterprise data platform. As a founding leader on the Enterprise Intelligence team, they build and lead the data engineering function, establish engineering best practices, and deliver trusted, governed data products. This role partners across business and IT teams to enable analytics, reporting, operational insights, and AI while creating a scalable data foundation for the future.

  • We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors
  • Our steady, strategic growth revolves around a commitment to quality
  • We are family owned and operated
  • We invest an average of $5,000 per employee on training each year
  • We reward hard work and dedication with limitless opportunities
  • We believe it is everyone’s responsibility to promote safety, regardless of job titles.
  • We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan):
    • Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan
Why you?
  • You thrive in fast-paced environments under tight deadlines
  • You enjoy collaborating and communicating with your teammates
  • You like to know your efforts are noticed and appreciated
  • You have strong time management, verbal, and written communication skills
Key Responsibilities:
  • Recruit, hire, and develop the founding data engineering team, establishing the roles, standards, and operating practices needed to scale responsibly.
  • Lead the buildout of the enterprise data platform on the selected technology stack, implementing the ingestion, storage, transformation, and orchestration layers that convert raw source data into trusted, reusable assets.
  • Partner with business and technology stakeholders to understand their needs and sequence the engineering backlog, making deliberate tradeoffs across value, speed, cost, risk, and maintainability.
  • Stay hands‑on as a technical leader, working alongside the team to design, build, and optimize the pipelines and transformation logic behind priority data products.
  • Collaborate with data architecture and data governance peers to ensure platform decisions are durable, interoperable, and ready to support future analytics and AI use cases.
  • Establish the foundational engineering disciplines that enable a lean team to reliably operate and support what it builds, using AI and automation to extend capacity.
Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative or technical field, or equivalent hands‑on experience.
  • 8+ years in data engineering, data platform engineering, or software engineering, including 4+ years leading technical teams with accountability for hiring, coaching, and delivery.
  • Proven experience building and operating large‑scale, complex cloud data platforms (e.g., Databricks, Snowflake, Microsoft Fabric, BigQuery) and delivering governed, reusable data products serving whole organizations across departments and technical personas.
  • Deep hands‑on proficiency with SQL, Python, and modern data engineering practices including orchestration, transformation, automated testing, CI/CD and both batch and streaming ingestion.
  • Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements.
  • Track record of building AI‑ready data platforms that are well‑documented, well‑structured, and trustworthy enough to serve both analytics and AI/GenAI use cases.

As set forth in Michels Corporation’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

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