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Entry Level Microsoft Full Stack Developer Jobs in Milwaukee, WI

DataAnnotation

Software Engineer - AI Trainer

Milwaukee, WI · On-site +1

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

TEKsystems

Order Entry Specialist

Menomonee Falls, WI

$18 - $20.58/hr

Basic knowledge of Microsoft Office Suite * Background in supply chain, retail or manufacturing ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

New

TEKsystems

Recruiter

Milwaukee, WI

$50K - $65K/yr

Experience recruiting within technology, professional services, engineering, healthcare, or other ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

TEKsystems

Order Entry Specialist

Menomonee Falls, WI · On-site

$18 - $20.58/hr

Preferred Qualifications: • Basic knowledge of Microsoft Office Suite • Background in supply ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

TEKsystems

Network Engineer

Brookfield, WI · Remote

$30 - $50/hr

Network Operations Engineer (Off-Hours) | Remote | ContractOverview We are seeking an experienced ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Hydrite

Junior IT Developer

Brookfield, WI · On-site

$63K - $82K/yr

This is an AI-forward team: developers use tools such as Microsoft Copilot Studio, Cowork, and ... Review, test, and validate AI-generated code, retaining full ownership of quality, security, and ...

Hydrite

Junior IT Developer

Brookfield, WI · On-site

$63K - $82K/yr

This is an AI-forward team: developers use tools such as Microsoft Copilot Studio, Cowork, and ... Review, test, and validate AI-generated code, retaining full ownership of quality, security, and ...

Hydrite

Junior IT Developer

Brookfield, WI · On-site

$63K - $82K/yr

This is an AI-forward team: developers use tools such as Microsoft Copilot Studio, Cowork, and ... Review, test, and validate AI-generated code, retaining full ownership of quality, security, and ...

Generac

Engineering Co-Op - Engines

Waukesha, WI

... 3D models, tolerance stack-ups, and various electronic data formats to support analysis ... Microsoft Office experience (including Excel). * Proficient oral and written communication and able ...

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Entry Level Microsoft Full Stack Developer information

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How much do entry level microsoft full stack developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level microsoft full stack developer in Milwaukee, WI is $58.39, according to ZipRecruiter salary data. Most workers in this role earn between $48.56 and $67.26 per hour, depending on experience, location, and employer.

What is an entry level Microsoft full stack developer?

An Entry Level Microsoft Full Stack Developer is a software professional who works with both front-end and back-end technologies in the Microsoft ecosystem, such as .NET, C#, SQL Server, and Azure. They typically develop web applications, APIs, and databases, handling everything from user interface to server-side logic. As an entry-level developer, they are usually just starting their career and have foundational knowledge of coding, debugging, and collaborating on team projects. Their role often involves learning from senior developers, participating in code reviews, and gradually taking on more complex tasks.

What are the key skills and qualifications needed to thrive as an entry level Microsoft full stack developer, and why are they important?

To thrive as an Entry Level Microsoft Full Stack Developer, you need a solid understanding of both front-end (HTML, CSS, JavaScript) and back-end (C#, .NET, SQL Server) development, usually supported by a relevant degree or coursework. Familiarity with Microsoft development tools like Visual Studio, Azure DevOps, and version control systems such as Git is typically required. Strong problem-solving abilities, teamwork, and effective communication help you collaborate and adapt in dynamic software environments. These skills ensure you can build, maintain, and deliver robust applications within the Microsoft ecosystem to meet business needs.

What types of projects can an entry level Microsoft full stack developer expect to work on, and how is collaboration typically structured within the team?

As an Entry Level Microsoft Full Stack Developer, you can expect to work on a variety of projects such as building internal business applications, maintaining existing web platforms, or developing new features using technologies like .NET, C#, and SQL Server for the backend, and frameworks such as Angular or React for the frontend. Typically, you'll collaborate closely with senior developers, QA engineers, and project managers in an Agile team environment. Daily stand-up meetings, code reviews, and pair programming sessions are common, providing opportunities to learn best practices and receive mentorship. This collaborative structure helps you quickly develop technical skills while contributing to meaningful projects.

What is the difference between Entry Level Microsoft Full Stack Developer vs Entry Level Software Engineer?

AspectEntry Level Microsoft Full Stack DeveloperEntry Level Software Engineer
Required CredentialsBachelor's in CS or related field, familiarity with Microsoft technologies (C#, .NET, Azure)Bachelor's in CS or related field, general programming knowledge, various tech stacks
Work EnvironmentPrimarily in Microsoft-based environments, web and application developmentVaried environments, including web, mobile, and enterprise software
Employer & Industry UsageTech companies, software firms, enterprises using Microsoft stackBroad industry use, including tech, finance, healthcare, and startups

Entry Level Microsoft Full Stack Developers focus on Microsoft technologies like C#, .NET, and Azure, working mainly in Microsoft-centric environments. Entry Level Software Engineers have a broader scope, working with various programming languages and platforms across multiple industries. While both roles require similar foundational skills, the Microsoft Full Stack Developer role emphasizes Microsoft tools and cloud services.

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Entry Level Microsoft Full Stack Developer jobs near you

Applied Machine Learning Engineer I - Advanced Engineering & Technology

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

Job description

Job Description:
Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.
INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions.
Your Role on the Team:
As a member of the Advanced Engineering and Technology (AET) Team in the Power Tool Accessories business unit you will utilize your expertise in machine learning to solve problems where no established solution exists and deliver first-of-its-kind technologies at Milwaukee Tool. You will support the research, prototyping, and delivery of ML-driven capabilities that accelerate how we design and develop products. You will take ideas from conceptual whiteboard architectures through functional prototypes and support hand-off integrations, delivering technology innovation to product and production engineering teams. This role is an individual contributor position focused on applied execution and technology demonstration, working under shared technical direction.
Why This Role is Different:
  • Full-Stack ML in a Physical Domain: Work across the ML stack, from machine and sensor-level data through model deployment on edge hardware or cloud infrastructure.
  • R&D Engineering First: Apply ML across Technology Readiness Levels (TRL 1-7), bringing technology innovation to life beyond model tuning. Domain knowledge in materials, mechanics, signals, or physics is central to this role.
  • Flexible Tools: Select and use frameworks and libraries best suited to the problem, without being constrained to a single ecosystem.
  • Real Impact: Deliver ML-driven capabilities that shorten product development cycles and unlock new engineering possibilities at Milwaukee Tool.

What You'll Do:
  • Research and evaluate emerging AI and ML technologies, advancing them through the Technology Readiness Level (TRL) process from concept through technology integration.
  • Frame engineering problems as ML problems by assessing ML value versus physics-based or analytical approaches and defining practical success criteria.
  • Design, train, and evaluate ML models to help solve well-scoped applied science and engineering problems, working under the guidance of senior engineers.
  • Build ML workflows spanning data acquisition, feature engineering, model development, and validation using standard scientific and ML libraries (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
  • Support algorithm selection and the construction of standard feature sets for engineering problems.
  • Support the deployment of ML models on edge hardware and cloud infrastructure, building and deploying with guidance.
  • Deploy ML enabled systems on edge hardware and cloud infrastructure to support engineering decisions.
  • Prepare technology transfer packages by documenting architecture decisions, known limitations, data requirements, and deployment specifications to enable technology adoption.
  • Conduct experiments and data analysis following established patterns and methods; identify and debug basic model errors.
  • Organize, clean, and prepare data for downstream tasks, and create visualizations that support hypotheses, insights, and conclusions.
  • Collaborate with cross-functional teams to deliver ML solutions aligned with engineering needs, and support the design of data collection and test plans.
  • Research and learn about emerging AI and ML technologies through literature, universities, conferences, and vendor engagement.

What You'll Bring:
  • BS in Mechanical Engineering, Electrical Engineering, Materials Science, Physics, Computer Science, Data Science, or related engineering discipline, with advanced coursework or experience in Machine Learning.
  • Experience applying ML to physical-world engineering or scientific problems (materials, mechanical systems, manufacturing, sensor systems, chemical processes, or similar).
  • Demonstrated experience designing, training, and evaluating ML models on real-world or academic problems.
  • Working knowledge of Python and the scientific computing ecosystem (NumPy, SciPy, Pandas, scikit-learn), with familiarity with SQL.
  • Exposure to at least one deep learning framework (PyTorch or TensorFlow), including training models, and awareness of cloud ML platforms (Azure ML, AWS SageMaker, or equivalent).
  • Strong mathematical foundations in linear algebra, probability, statistics, and optimization, with the ability to reason about loss functions, convergence behavior, and model assumptions.
  • Ability to help formulate well-scoped engineering or scientific tasks into ML problems with clear objectives and evaluation criteria, and awareness of when different model classes should be used.
  • Curiosity-driven approach to learning new technologies and methods, with emphasis on applying machine learning to real-world scientific and engineering challenges.
  • Ability to work across a diverse range of data types.
  • Hands-on approach to collaboration and evaluation of technologies.
  • Ability to thrive in an ambiguous and fast-paced environment, where problem definitions evolve.
  • Ability to travel 10% of the time (domestic and international).

Preferred
  • Master's Degree in relevant field.
  • Familiarity with common sensors and interpreting their physical data, and exposure to engineering test lab workflows.
  • Experience with computer vision for engineering applications.
  • Awareness of edge deployment concepts: model optimization and containerized deployment to industrial hardware.
  • Coursework or exposure to design of experiments (DOE), uncertainty quantification, or Bayesian optimization.
  • Familiarity with version control, experiment tracking, and reproducible research practices

Working Environment
  • In-Person, Office Environment, R&D Engineering Lab

Our Perks and Benefits:
  • Robust health, dental and vision insurance plans
  • Generous 401 (K) savings plan
  • Education assistance
  • On-site wellness, fitness center, food, and coffee service
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.

Apply