ZipRecruiter

Log In

1

Data Developer Jobs in Milwaukee, WI (NOW HIRING)

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Git / Azure DevOps * Deep Spark internals (DAG optimization, spill analysis, skew handling) * Delta ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Pwc

Data Governance- Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Northwestern Mutual

Senior Data Engineer

Milwaukee, WI · Remote

$113K - $222K/yr

... 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 ...

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

... developer workflows, enablement, success measures, and a phased rollout. * Lead design and code reviews, share engineering best practices, and mentor junior data engineers. Required skills:

New

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

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 ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

Quad

Director, Analytics, Data Engineering

Sussex, WI · On-site

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise data architecture strategy that powers the Quad/Rise Data Stack. This role provides architectural ...

Bakertilly

Associate Data Engineer

Milwaukee, WI

$85K - $162K/yr

... Azure DevOps or GitHub. * Client Delivery: Gather requirements, demo iterative deliverables ... Strong TSQL for data transformation and performance tuning. **Python for data wrangling ...

Charter Automotive

Data Architect

Mequon, WI · On-site

$120 - $180/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline; equivalent experience will also be considered.* 6+ years of experience in Data ...

New

Charter Manufacturing Company, Inc.

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline; equivalent experience will also be considered. * 6+ years of experience in Data ...

previous page

Showing results 41-60

All JobsData Developer JobsData Developer Jobs in Milwaukee, WI

Data Developer information

See Milwaukee, WI salary details

$26

$52

$79

How much do data developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data developer in Milwaukee, WI is $52.34, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $59.23 per hour, depending on experience, location, and employer.

How does a data developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What is a data developer?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

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

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are popular job titles related to Data Developer jobs in Milwaukee, WI? For Data Developer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Data Developer jobs in Milwaukee, WI look for? The top searched job categories for Data Developer jobs in Milwaukee, WI are:
Data Developer jobs near you
Infographic showing various Data Developer job openings in Milwaukee, 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 $108,858 per year, or $52.3 per hour.

Threat Detection & Automation Engineer (with focus on Data Engineering)

Northwestern Mutual Life Insurance Company

Milwaukee, WI • On-site

Full-time

Posted 24 days ago

Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

163rd of 303 rated insurance

Job description

About the Job:
We are looking for a highly motivated Security Automation Engineer with experience in Data Engineering to join NM's Security Automation & Data Analytics team. As a member of our team, you will play a pivotal role in designing, building and maintaining continuous and sustainable automated pipelines with the goal of enhancing the efficiency, effectiveness and accuracy of cybersecurity teams' capabilities reducing manual tasks for the IRC teams and enable data-driven cybersecurity operations. This role requires a mix of modern data engineering practices, experience in database structures and tooling, coding, cloud development, and security domain expertise.
What You'll Do:
  • Design, develop, and maintain scalable data pipelines, datasets, and analytics products supporting IRC department's reporting and analytics capabilities.
  • Develop and maintain enterprise-ready ETL/ELT processes and data transformation frameworks to support data-driven initiatives.
  • Design, build and support cloud-based data pipelines and data lake architectures using software and data engineering best practices.
  • Ensure data quality, lineage, integrity, and governance standards are implemented throughout the data lifecycle.
  • Optimize and troubleshoot existing data pipelines for performance and reliability, ensuring data quality and integrity across various data sources.
  • Identify opportunities to automate workflows/processes and improve efficiency across cybersecurity teams through SOAR playbooks and Kubernetes-hosted and/or cloud-hosted pipelines.
  • Assist with the design, engineering, deployment, and maintenance of custom automation tools (primarily in Python and PowerShell)
  • Develop integrations with security tools and APIs.
  • Evaluate and implement emerging technologies to improve cybersecurity and analytics capabilities
  • Assist with the development and support of dashboards, metrics, and monitoring alerts related to the team's and the department's operations.
  • Develop and maintain documentation related to the team's automated workflows/products.
  • Partner with data scientists, analysts, engineers, and other stakeholders to identify requirements and deliver high-quality solutions and insights.
  • Provide mentorship and coaching to junior team members, fostering skill development and encouraging continuous learning.

What You'll Bring to the Role:
  • 5+ years of professional development experience using SQL and Python.
  • 5+ years of professional experience building data pipelines (batch and/or streaming) and data governance practices.
  • Hands-on experience with modern data warehouses and large-scale data platforms (Databricks Preferred); comfortable working across large-scale, structured and unstructured data.
  • Deep understanding of database structures principles and best practices
  • Deep understanding of data modeling, ETL/ELT design, data engineering best practices, including data integration patterns, replication, event streaming, and pipeline performance tuning.
  • Hands-on experience with security automation and orchestration tools and/or software development technologies.
  • Comfortable with REST API best practices and usage.
  • Hands-on experience deploying content and/or systems through CI/CD environments, and tooling such as GitLab, GitLab CI, Terraform, Ansible, Kubernetes etc.
  • Hands-on experience with AWS and cloud services configuration and development.
  • Excellent written and verbal communications skills.
  • Ability to communicate with technical and non-technical audiences.

Preferred Skills:
  • Bachelor's degree in computer science, Cybersecurity, Computer Engineering, Data Engineering, Software Engineering, or related fields
  • Relevant industry certifications are preferred, such as AWS Certified Data Engineer - Associate Databricks, Certified Data Engineer Associate, or Databricks Certified Data Engineer Professional, demonstrating expertise in modern cloud-based data engineering, analytics, and data platform technologies.
  • Experience with Databricks
  • Experience with SOAR and SIEM platforms.
  • Practical experience with automation techniques using PowerShell, Bash, JavaScript, API calls, and regular expressions
  • Additional coding experience in one or more programming languages - Java, C++, Go
  • ServiceNow development experience
  • Experience with network and/or systems administration
  • Experience working in Security Operations, Incident Response, or Penetration Testing
  • Hands-on experience with security technologies such as firewalls, IDR/IPS, EDR, IAM principles and others.

What Sets you apart:
  • Adaptive Communication - Adaptive Communication: Formulates strategies to be used to convey complex information about services, products, systems, or processes to targeted audiences; communicates and liaises between technical and non-technical audiences.
  • Data Architecture - Data Architecture: Designs and maintains the structure of logical and physical data assets and data management resources; develops and governs policies and processes for data collection, storage, arrangement, integration, and usage of data.
  • Data ETL - Data ETL: Extracts, transforms, and loads data from multiple sources to a data warehouse or unified data repository.
  • Databases & Data Platforms - Databases & Data Platforms: Utilizes knowledge of databases to access, manage, and update information, typically containing aggregations of data records or files; includes understanding of different types of databases.
  • Engineering Expertise & Practices - Engineering Expertise & Practices: Applies specialized experiences in different facets of engineering, including data, applications, cyber, systems, operations, product, security, and testing, along with technical aptitude to adapt new expertise as they become relevant through an understanding of underlying engineering principles.
  • Programming Languages - Programming Languages: Demonstrates proficiency in one or more programming languages to execute activities, tasks, practices, and deliverables associated with writing and modifying programs and scripts that comprise an application system; designs, codes, tests, and installs complex computer programs and maintains detailed documentation of programming tasks.
  • SQL - SQL: Applies clear, logical codes for small and large-scale projects using the language constructs and object-oriented approach of SQL to manage data in a database management system.

#LI-Hybrid
Compensation Range:
Pay Range - Start:
$130,800.00
Pay Range - End:
$196,200.00
Geographic Specific Pay Structure:
Structure 110:
$143,920.00 USD - $215,880.00 USD
Structure 115:
$150,400.00 USD - $225,600.00 USD
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. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more.
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.

What Northwestern Mutual employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Northwestern Mutual logo

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

View All Northwestern Mutual Jobs

Apply