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Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

Data Engineer

Racine, WI · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a ...

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Big Data Engineer, Senior EMPLOYER: Fiserv Solutions, LLC LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management) DUTIES: Design ...

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team * Leverage critical thinking, experimentation, data, and ...

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Data Engineer information

See Milwaukee, WI salary details

$43.7K

$127.5K

$174.4K

How much do data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data engineer in Milwaukee, WI is $127,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $135,100.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Milwaukee, WI? The most popular types of Data Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Data Engineer jobs? Cities near Milwaukee, WI with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 80% Full Time, 10% Temporary, and 10% Nights. Highlights an 100% In-person job distribution, with an average salary of $127,466 per year, or $61.3 per hour.
Data Engineer

$112K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 hours ago


Marquette University rating

6.9

Company rating: 6.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

408th of 555 rated colleges and universities


Job description

Posting Details
Posting Details
Posting Number
NA01568
Position Information
Position Title
Data Engineer
State
Employment Status
Full Time
Position Status
Regular
If Limited Term (End Date of Assignment, Project, or Grant)
Position Type
Staff
Job Family
Information Technology
# Hours Per Week
Position Overview
Be The Difference Begins with Great People.
Are you looking for a new opportunity where you can make the difference in the lives of students and faculty? We're always looking for highly talented individuals to join our team - people who think big, care deeply, and believe in being the difference in their work and community.
We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who transform their fields, our society and the world. Our Catholic, Jesuit approach emphasizes student engagement with the world around them and formation of the heart and mind.
We believe in our mission: The search for truth, the discovery and sharing of knowledge, the fostering of personal and professional excellence, the promotion of a life of faith, and the development of leadership expressed in service to others. These core values guide our relationships with our students, each other, and our community.
Marquette University offers a rich and competitive Total Rewards package including medical, dental, vision, 403(b) with up to 8% university match, generous time off package, and tuition benefits for employees, spouses, and dependents with no payback requirement! For more information, please view our Total Rewards guide.
This is your next opportunity to join an organization that invests in their employees' career journey by diversifying their skills, deepening their expert knowledge, encouraging a healthy work-life balance, focusing on personal wellbeing, providing leadership training, and sustaining a culture of respect and inclusion.
The Data Engineer is responsible for the comprehensive data and reporting infrastructure at Marquette. This role involves developing and maintaining data solutions, including an enterprise data warehouse, data visualization, and operational reporting. Responsibilities include end to end solution architecture, database administration, converting customer requirements into BI applications, and providing technical support and training. The Data Engineer works directly with customers to deliver end-to-end data solutions, provides on-call support, and implements process improvements to enhance data delivery and efficiency
Duties and Responsibilities
1. Develop, maintain and monitor data analytic solutions, including the data warehouse, data visualization tools and operational reporting solutions.
2. Responsible for end-to-end solution architecture and development, from modeling database tables and writing custom ETL code to improving indexing and developing testing modules.
3. Work directly with units on campus to understand their data needs and convert complex requirements into sound business intelligence applications within the BI environment. Provide technical support and training to users on data-related issues.
4. Database administration including regular monitoring, server setup, security provisioning and maintaining a secure database environment to support reporting efforts.
5. Identify, design and implement internal process improvements to enhance data delivery and automate manual processes. Research and integrate new technologies and software engineering tools to reduce complexity, increase capacity and improve overall efficiency
Required Knowledge, Skills and Abilities
Bachelor's degree in Information Technology, Computer Science, or a related field; or comparable experience.
Minimum of 3 years' experience in data analytics or data solutions
Demonstrated experience writing complex SQL queries and designing reporting data sets for business intelligence applications
Demonstrated experience managing and working with common databases (SQL Server, Oracle, MySql, etc.)
Previous workplace experience utilizing reporting and visualization tools to develop and publish business reports
Demonstrated experience with scripting language (Python, R, PowerShell, or others).
Strong Analytical and problem-solving skills
Demonstrated continuous improvement mindset
Excellent communication and collaboration skills
Preferred Knowledge, Skills and Abilities
Experience with Microsoft BI tools.
Experience with an ETL tool like SSIS, Informatica, Talend, etc.
Experience with MLOps pipelines (DVC, Airflow, etc.)
Experience with API data integrations
Proficient knowledge of Python and experience building customized data pipelines
Department
IT Services
Posting Date
05/19/2026
Closing Date
Special Instructions to Applicants
EOE Statement
It is the policy of Marquette University to provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other applicable federal or state-protected classification.

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