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Django Jobs in Wisconsin (NOW HIRING)

Rivi Consulting Group

Java Software emgineer

Green Bay, WI · On-site

$50.25 - $69/hr

Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary). Domain Understanding ...

Deloitte

CyberArk Senior Consultant

Milwaukee, WI · On-site

Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot). * Experience building and consuming REST APIs and microservices. * Experience with ...

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$48

$58

$66

How much do django jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for django in Wisconsin is $58.54, according to ZipRecruiter salary data. Most workers in this role earn between $54.86 and $61.88 per hour, depending on experience, location, and employer.

What is a Django job?

A Django job refers to a role where a developer works with Django, a high-level Python web framework used for building web applications. Responsibilities often include designing, developing, and maintaining web applications, writing efficient code, and integrating databases. Django developers are expected to work with front-end technologies, APIs, and deployment processes. These roles are commonly found in startups, tech companies, and enterprises needing scalable web solutions.

What are the key skills and qualifications needed to thrive in the Django position, and why are they important?

To thrive as a Django Developer, you need strong programming skills in Python, experience with the Django web framework, and a solid understanding of web technologies such as HTML, CSS, and JavaScript. Familiarity with source control systems like Git, database management (e.g., PostgreSQL, MySQL), and relevant certifications such as Django certifications or Python programming credentials are valuable assets. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and resolve technical challenges. These competencies are vital for delivering robust web applications, maintaining clean code, and contributing to successful project outcomes.

What does a typical day look like for a Django Developer?

A typical day for a Django Developer involves writing and reviewing Python code, designing database models, implementing backend logic, and collaborating with front-end developers to integrate user-facing elements. You may participate in daily stand-up meetings, coordinate with project managers, and troubleshoot issues or bugs as they arise. The work often requires balancing multiple tasks, adapting to project changes, and maintaining clear documentation. Django Developers also spend time learning new tools or best practices to keep up with evolving web development trends, making the role both dynamic and intellectually engaging.

What are the most commonly searched types of Django jobs in Wisconsin? The most popular types of Django jobs in Wisconsin are:
What are popular job titles related to Django jobs in Wisconsin? For Django jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Django jobs in Wisconsin look for? The top searched job categories for Django jobs in Wisconsin are:
Django jobs near you
Infographic showing various Django job openings in Wisconsin as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $121,761 per year, or $58.5 per hour.

Java Software emgineer

Rivi Consulting Group

Green Bay, WI • On-site

$50.25 - $69/hr

Other

Posted 20 days ago

Job description

Java Software Engineer 
 Green Bay, WI (Onsite)
only on w2
 
Core Characteristics and Soft Skills:

Beyond technical proficiency, the right mindset and interpersonal skills are crucial for success on our team. We’d prioritize candidates who demonstrate:

  • Problem-Solving Acumen: The ability to analyze complex problems, break them down, evaluate different approaches, and implement robust, efficient solutions. This includes troubleshooting existing systems and designing new ones.
  • Independence and Initiative: We value engineers who can take ownership of tasks, research potential solutions independently, make informed decisions, and drive work forward with minimal supervision once objectives are clear.
  • Dependability and Accountability: Team members must be reliable, meet commitments, deliver high-quality work, and take responsibility for their contributions.
  • Strong Communication Skills: Clear, concise communication (both written and verbal) is essential. This includes explaining technical concepts to varied audiences, actively listening, providing constructive feedback, and documenting work effectively.
  • Collaboration and Teamwork: Ability to work effectively within a team structure, share knowledge, participate in code reviews, and contribute to a positive team dynamic.
  • Adaptability and Eagerness to Learn: The technology landscape and business needs evolve. We seek individuals who are curious, adaptable, and willing to learn new technologies and methodologies.

Core Technical Skillset:

Our current technology stack forms the foundation of our work. Proficiency or strong experience in the following areas is highly desirable:

  • Backend Development:
    • Java: Deep understanding of Java (latest LTS versions preferred).
    • Spring Boot: Extensive experience building applications and microservices using the Spring Boot framework and its ecosystem (e.g., Spring Data, Spring Security, Spring Cloud).
  • Messaging Systems:
    • Apache Kafka: Solid understanding of Kafka concepts (topics, producers, consumers, partitioning, brokers) and experience building event-driven systems.
  • Containerization & Orchestration:
    • Kubernetes: Practical experience deploying, managing, and troubleshooting applications on Kubernetes.
    • OCP (OpenShift Container Platform): Experience specifically with OpenShift is a significant advantage.
    • AKS (Azure Kubernetes Service): Experience with AKS is also highly relevant.
    • (General Docker knowledge is expected)
  • CI/CD & DevOps:
    • GitHub Actions: Proven experience in creating, managing, and optimizing CI/CD pipelines using GitHub Actions for build, test, and deployment automation.
    • Understanding of Git branching strategies and DevOps principles.
  • Frontend Development:
    • JavaScript: Strong proficiency in modern JavaScript (ES6+).
    • React: Experience building user interfaces with the React library and its common patterns/ecosystem (e.g., state management, hooks).
  • Database & Data Warehousing:
    • Oracle: Experience with Oracle databases, including writing efficient SQL queries, understanding data modeling, and potentially PL/SQL.
    • Snowflake: Experience with Snowflake cloud data warehouse, including data loading, querying (SQL), and understanding its architecture.
  • Scripting:
    • Python: Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary).

Domain Understanding (Transportation & Logistics):

While not strictly mandatory, candidates with experience or a demonstrated understanding of the transportation and logistics industry (e.g., supply chain management, freight operations, warehousing, fleet management, routing optimization, TMS systems) will be able to contribute more quickly and effectively. They can better grasp the business context and user needs.

 Additional Valuable Skills:

We are also interested in candidates who may possess skills in related areas that complement our core activities:

  • Data Science & Analytics:
    • Experience with data analysis techniques.
    • Knowledge of Machine Learning (ML) concepts and algorithms (particularly relevant for optimization, forecasting, anomaly detection in logistics).
    • Proficiency with Python data science libraries (Pandas, NumPy, Scikit-learn).
    • Experience with data visualization tools and techniques.
    • Understanding of optimization algorithms (linear programming, vehicle routing problem algorithms, etc.).
  • Cloud Platforms: Broader experience with cloud services (particularly Azure, but also AWS or Google Cloud Platform) beyond Kubernetes (e.g., managed databases, serverless functions, monitoring services).
  • Testing: Strong experience with automated testing practices and tools (e.g., JUnit, Mockito, Cypress, Selenium, Postman/Newman).
  • API Design & Management: Deep understanding of RESTful API design principles, API security (OAuth, JWT), and potentially experience with API gateways.
  • Monitoring & Observability: Experience with tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Dynatrace, etc., for monitoring application health and performance.
  • Security: Awareness and application of secure coding practices (e.g., OWASP Top 10).
 
 

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