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Junior Full Stack Jobs in Wisconsin (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Milwaukee, WI · On-site

$101K - $133K/yr

Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that ... Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ...

FIS

Senior Backend Engineer

Milwaukee, WI · On-site

$97K - $195K/yr

Mentor junior team members and contribute to a culture of continuous learning and improvement. * Engage in full-stack development, from backend systems to user interfaces. Work with technologies such ...

Worldpay, Inc.

Senior Backend Engineer

Milwaukee, WI · On-site

$97K - $195K/yr

Mentor junior team members and contribute to a culture of continuous learning and improvement. * Engage in full-stack development, from backend systems to user interfaces. Work with technologies such ...

DTN (Data Transmission Network)

WI · On-site

$115 - $165/hr

DTN is looking for a full stack Senior Software Engineer to join our team. In this role, you'll ... Mentor junior engineers and provide technical leadership on GraphQL and semantic architecture best ...

Expleo

Senior PHP Software Engineer

Milwaukee, WI · Remote

... full application stack, and play a key role in driving enterprise technology solutions that ... Coach and mentor junior and mid-level developers * Champion software engineering best practices and ...

Realta Fusion, Inc.

Lead Fusion Controls Developer

Madison, WI · On-site

$45.50 - $58.25/hr

This is a high-impact technical leadership role that influences the full controls stack, from ... Provide guidance to junior staff. * Collaborate within controls team and closely with engineering ...

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All JobsFull Stack JobsJunior Full Stack JobsJunior Full Stack Jobs in Wisconsin

Junior Full Stack information

See Wisconsin salary details

$24.2K

$89.8K

$138.8K

How much do junior full stack jobs pay per year?

As of Aug 19, 2026, the average yearly pay for junior full stack in Wisconsin is $89,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $87,800.00 per year, depending on experience, location, and employer.

What is a junior full stack developer?

A Junior Full Stack Developer is an entry-level software professional who works on both the front-end and back-end parts of web applications. They are skilled in basic programming languages and frameworks needed for creating user interfaces as well as handling server-side logic and databases. Typically, juniors work under the guidance of more experienced developers, assisting with coding, debugging, and testing tasks while gradually building their expertise. Their role often involves learning and adapting to new technologies as they gain experience in the field.

What are the key skills and qualifications needed to thrive as a junior full stack developer?

To thrive as a Junior Full Stack Developer, you need a solid understanding of both front-end (HTML, CSS, JavaScript) and back-end (Node.js, Python, Java, or similar) programming, typically supported by a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, databases (SQL/NoSQL), and frameworks such as React or Express is commonly expected. Strong problem-solving abilities, teamwork, and effective communication are standout soft skills in this role. These skills and qualities ensure you can contribute effectively to diverse projects, adapt to evolving technologies, and collaborate within development teams.

How do junior full stack developers typically balance learning new technologies with meeting project deadlines?

As a Junior Full Stack Developer, you’ll often juggle learning new frameworks or languages while contributing to active projects. Many teams support this by pairing juniors with more experienced developers, offering code reviews, and allocating time for professional development within sprint cycles. While deadlines are important, managers usually recognize the learning curve and provide guidance to help you prioritize tasks and grow your skills without being overwhelmed. Open communication with your team about your progress and challenges is key to maintaining this balance.

What is the difference between Junior Full Stack vs Junior Front End Developer?

AspectJunior Full StackJunior Front End Developer
Required SkillsHTML, CSS, JavaScript, basic backend knowledge (Node.js, Python), database basicsHTML, CSS, JavaScript, frameworks like React or Angular, UI/UX design
Work EnvironmentBoth roles often work in collaborative teams within tech companies, startups, or agencies
Common UsageVersatile role involving both client-side and server-side developmentSpecialized role focusing on user interface and experience

Junior Full Stack developers have a broader skill set covering both front-end and back-end development, while Junior Front End Developers focus primarily on the user interface and client-side technologies. The choice depends on your interest in full project development versus specializing in UI/UX design.

What are popular job titles related to Junior Full Stack jobs in Wisconsin?

For Junior Full Stack jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Junior Full Stack jobs in Wisconsin look for?

The top searched job categories for Junior Full Stack jobs in Wisconsin are:

What cities in Wisconsin are hiring for Junior Full Stack jobs?

Cities in Wisconsin with the most Junior Full Stack job openings:

Junior Full Stack jobs near you
Infographic showing various Junior Full Stack job openings in Wisconsin as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $89,808 per year, or $43.2 per hour.

Lead AI and Data Science Engineer II

Deloitte

Milwaukee, WI • On-site

$101K - $133K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118700 to $218600.

Qualifications:

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ski...

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