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As of August 01, 2026, the average salary for a Data Engineering in Wisconsin is $120,294 per year, which breaks down to an hourly rate of $58.
However, a Data Engineering's salary can vary significantly. Here’s a look at the typical salary range:
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Data Engineering Salaries by Percentile
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $130,691 | $10,891 | $2,513 | $63 |
| Average | $120,294 | $10,024 | $2,313 | $58 |
| 25th Percentile | $110,349 | $9,196 | $2,122 | $53 |
Confluent - Madison, WI
Kohler - Kohler, WI
Meta - Beaver Dam, WI
Kohl's - Menomonee Falls, WI
A Data Engineering's salary isn't a fixed number. It's shaped by several important factors. Below, we'll explore how your years of experience, geographic location and company size can directly affect your earning potential.
Experience is a primary driver of a Data Engineering's salary. As you build your skills and take on more complex tasks, your compensation generally increases. Here’s how the average salary grows at different career stages:
| Levels | Salary |
|---|---|
| Database ... Level Data Engineering | $74,397 |
| Database ... Level Data Engineering | $100,529 |
| Data Engi... Level Data Engineering | $122,366 |
| Database ... Level Data Engineering | $140,514 |
| Database ... Level Data Engineering | $163,948 |
What Am I Worth?
Your salary can change significantly depending on where you work. States with a higher cost of living and strong industrial sectors often pay more to attract Data Engineerings. For example, consider the average annual salaries in these key locations:
Salaries can also vary between different cities. Major metropolitan areas or cities with a high demand for technicians often offer more competitive pay. Here are a few examples of average annual salaries in different U.S. cities:
For Data Engineering roles, the industry you choose can affect earning potential by as much as 75% (the gap between the highest and lowest paying industries). Data shows that the Healthcare and Construction sectors offer the strongest compensation, at 40% above the average. In contrast, Data Engineering positions in Transportation or Software & Networking typically offer lower base pay, as these industries often view Data Engineering as a support function rather than a direct revenue driver.
| Industry Sector | Average Annual Salary | Average Hourly Rate | Pay vs.Avg |
|---|---|---|---|
| Healthcare | $168,411 | $81.0 | 40% |
| Construction | $162,397 | $78.0 | 35% |
| MFG Nondurable | $156,382 | $75.0 | 30% |
| Aerospace & Defense | $150,367 | $72.0 | 25% |
| Media | $144,352 | $69.0 | 20% |
Understanding how a Data Engineering's annual salary breaks down can help with budgeting. Below, you can see the average hourly rate, weekly pay, and monthly pay for this role. Use the buttons to switch between different pay periods.
| Annual Salary | Monthly Pay | Weekly Pay | Hourly Wage | |
|---|---|---|---|---|
| 75th Percentile | $130,691 | $10,891 | $2,513 | $63 |
| Average | $120,294 | $10,024 | $2,313 | $58 |
| 25th Percentile | $110,349 | $9,196 | $2,122 | $53 |
Ready to take the next step in your career? Browse thousands of current Data Engineering job openings on our job board. Use the search bar below to find your perfect match.
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