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Junior Web Developer Jobs in Greendale, WI (NOW HIRING)

Lead AI and Data Science Engineer II

Milwaukee, WI · On-site

$101K - $133K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Software & Data Engineering * Develop full-stack, web-based data and generative artificial ...

Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ... Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams delivering cloud ...

May take on a mentoring role and provide guidance and support to junior technical talent ... with modern engineering tools, languages and practices * Proven track record of delivering ...

... junior staff * Master's degree from a science, technology, engineering, or mathematics-designated program * One or more certifications in artificial intelligence, machine learning, Amazon Web ...

WISN Fall Intern

Milwaukee, WI · On-site

$14.75 - $19.75/hr

Fall: August 31 WISN-TV Internship Criteria Candidate must be a Junior or Senior with a declared ... Write press releases, advisories, articles, etc. * Assist in promoting WISN programming by drafting ...

Full-Stack Developer Reports To : Senior Project Manager Start Date : ASAP Location : Milwaukee, WI 53224 100% IN PERSON (NO REMOTE OPPORTUNITIES AVAILABLE AT THIS TIME) We are seeking a Full-Stack ...

Full-Stack Developer Reports To : Senior Project Manager Start Date : ASAP Location : Milwaukee, WI 53224 100% IN PERSON (NO REMOTE OPPORTUNITIES AVAILABLE AT THIS TIME) We are seeking a Full-Stack ...

We design, engineer, manufacture and support bold, eye-catching digital LED display technology and ... Computer skills to best utilize Salesforce, Microsoft Team meetings, web navigation, and internal ...

We design, engineer, manufacture and support bold, eye-catching digital LED display technology and ... Computer skills to best utilize Salesforce, Microsoft Team meetings, web navigation, and internal ...

WISN Fall Intern

Milwaukee, WI · On-site

$14.75 - $19.75/hr

Fall: August 31 WISN-TV Internship Criteria Candidate must be a Junior or Senior with a declared ... Write press releases, advisories, articles, etc. * Assist in promoting WISN programming by drafting ...

WISN Fall Intern

Milwaukee, WI

$14.75 - $19.75/hr

Fall: August 31 WISN-TV Internship Criteria Candidate must be a Junior or Senior with a declared ... Write press releases, advisories, articles, etc. * Assist in promoting WISN programming by drafting ...

WISN Fall Intern

Milwaukee, WI · On-site

$14.75 - $19.75/hr

Fall: August 31 WISN-TV Internship Criteria Candidate must be a Junior or Senior with a declared ... Write press releases, advisories, articles, etc. * Assist in promoting WISN programming by drafting ...

They engage in leadership and professional development activities and plan programming for mentees ... Utilize web conferencing programs for meetings and events. (Ex: Zoom, Microsoft Teams, etc.) d.

WISN Fall Intern

Milwaukee, WI · On-site

$14.75 - $19.75/hr

Fall: August 31 WISN-TV Internship Criteria Candidate must be a Junior or Senior with a declared ... Write press releases, advisories, articles, etc. * Assist in promoting WISN programming by drafting ...

Showing results 21-40

Junior Web Developer information

See Greendale, WI salary details

$28.3K

$74.9K

$111K

How much do junior web developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for junior web developer in Greendale, WI is $74,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $75,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior Web Developer, you need a solid understanding of HTML, CSS, JavaScript, and basic programming principles, often supported by a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, web frameworks, and development tools such as Visual Studio Code is typically required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with others help you stand out in this role. These competencies are crucial for building high-quality websites, adapting to fast-changing technologies, and contributing successfully to team projects.

What is a junior web developer?

Junior Web Developers are entry-level professionals who assist in building and maintaining websites and web applications. They typically work under the supervision of more experienced developers, helping with tasks such as coding, debugging, and testing. Junior Web Developers usually have foundational knowledge of programming languages like HTML, CSS, and JavaScript, and may also work with frameworks or content management systems. Their role is essential for gaining practical experience and advancing to more senior web development positions.

What are some common challenges faced by junior web developers during their first year on the job?

Junior Web Developers often encounter challenges such as adapting to new coding standards, understanding legacy codebases, and effectively collaborating within cross-functional teams. Balancing the need to learn new technologies quickly while delivering projects on tight deadlines can also be demanding. However, many organizations offer mentorship, code reviews, and regular team meetings to help junior developers grow their technical and communication skills, making it easier to overcome these initial hurdles.

Is it hard to get a junior web developer job?

Securing a junior web developer position can be competitive, but it is achievable with a solid foundation in HTML, CSS, JavaScript, and relevant frameworks. Building a portfolio, gaining practical experience through internships or projects, and having basic knowledge of version control tools like Git can improve chances of employment.

What does a junior web developer do?

A junior web developer works with a team of developers to create new websites and applications. The junior designation means you work under the supervision of senior developers in your department, but you may be involved in all stages of the project, from brainstorming to final testing. As a junior web developer, you meet with clients to review web design needs and preferences and provide advice on website maintenance. While working on the project, you need to make sure to follow company protocols, federal regulations, and user needs. After working in the industry for several years, you may choose to seek senior developer positions.

What is the difference between Junior Web Developer vs Web Designer?

AspectJunior Web DeveloperWeb Designer
Required SkillsHTML, CSS, JavaScript, basic codingDesign principles, UI/UX, graphic tools
CertificationsWeb development courses, coding bootcampsDesign certifications, Adobe Creative Suite
Work EnvironmentCollaborates with developers, coding tasksCreates visual layouts, user interfaces
Industry UsageWeb development teams, tech companiesDesign agencies, marketing firms

The main difference between a Junior Web Developer and a Web Designer lies in their focus: developers work on coding and building websites, while designers focus on visual design and user experience. Both roles often collaborate but require different skill sets and tools.

What cities near Greendale, WI are hiring for Junior Web Developer jobs?

Cities near Greendale, WI with the most Junior Web Developer job openings:

Infographic showing various Junior Web Developer job openings in Greendale, WI as of August 2026, with employment types broken down into 1% Internship, 78% Full Time, 14% Part Time, 1% Temporary, and 6% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $74,876 per year, or $36 per hour.

Lead AI and Data Science Engineer II

Deloitte

Milwaukee, WI • On-site

$101K - $133K/yr

Full-time

Posted 16 days ago


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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