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Java Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

Fiserv, Inc.

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 ... Java; 4 years working with data validation and quality assurance practices; 3 years building ...

Northwestern Mutual

Senior Data Engineer

Milwaukee, WI · Remote

$113K - $222K/yr

The Senior Data Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will ... JVM (Java, Scala), Apache Spark, SQL, Terraform, and YAML configuration as code; (2) Agile ...

Sonoma Consulting Inc.

Java Developer

Waukesha, WI

$51 - $66/hr

This Senior Java Developer will join the Global Service Technology team and will work on a Scrum ... data between a customer's site and the back office. Qualifications Long term or contract to hire ...

Luminoustec LLC

Java Developer

Milwaukee, WI

$50.25 - $65/hr

Role: Senior Java Programmer Job Type: Contract to Hire (6 months) Location: Menominee Falls ... Responsibilities may also include participation in component and data architecture design ...

Luminoustec LLC

Java Developer

Milwaukee, WI · On-site

$50.25 - $65/hr

Role: Senior Java Programmer Job Type: Contract to Hire (6 months) Location: Menominee Falls ... Responsibilities may also include participation in component and data architecture design ...

Northwestern Mutual

Senior Software Engineer

Milwaukee, WI · On-site

$120K - $158K/yr

... with AWS data services: S3, Glue, Redshift (Spectrum/RA3), Athena, EMR, Lambda, Kinesis/MSK, DMS. • Strong programming skills in Python and/or Scala (or Java); proven track record writing ...

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Java Data Engineer information

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$26

$59

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How much do java data engineer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for java data engineer in Milwaukee, WI is $59.53, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $67.26 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

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

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What are popular job titles related to Java Data Engineer jobs in Milwaukee, WI? For Java Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Milwaukee, WI look for? The top searched job categories for Java Data Engineer jobs in Milwaukee, WI are:
Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,827 per year, or $59.5 per hour.
Senior Data Engineer

Senior Data Engineer

Northwestern Mutual Life Insurance Company

Milwaukee, WI • On-site

$113K - $222K/yr

Full-time

Posted 4 days ago

Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

161st of 299 rated insurance

Job description

The Senior Data Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will apply engineering best practices in order to analyze, design, develop, deploy and support software solutions. Develop software using continuous deployment and integration practices along with leverage vendor supplied solutions to fulfill organizational goals around large analytical and operational data platforms. Participate in Agile implementations and maintenance of source control and release procedures. Participate in Code Reviews and provide feedback to team. Explain technical solutions to technical teams. Understand data platforms, data lake technology, and strategies to expand business use cases of such technology. Build and maintain a platform level observability framework. Work with large data platforms and solutions in support of an enterprise data lake solution. Incorporate enterprise observability platforms into frameworks for logging, alerting, and monitoring for scalability, reliability, and predictability. Assist in the definition of platform SLIs, SLOs, and SLAs. Identify data quality issues and their root causes and propose fixes and design data audits. Telecommuting permissible. Salary $113,922- $222,300 per year.
Minimum Requirements: Bachelor's degree in Computer Science or related field plus 4 years of experience as a data engineer or related occupation. Experience must include at least 4 years of experience with each of the following: (1) Python, JVM (Java, Scala), Apache Spark, SQL, Terraform, and YAML configuration as code; (2) Agile methodologies and DevOps environment; (3) Data Integration Patterns and Tooling including ELT/ETL, EII, Replication, Event Streaming, Virtualization to support batch and real-time data needs; (4) Enterprise Data platforms in support of a data lake including Airflow, Starburst; and (5) Terraform.
Interested candidates send resume to apply@northwesternmutual.com. Reference code 688 in the subject line.
We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. If noted, this is standard pay structure for this position.
Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!
Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.
If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits.

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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

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