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Transformer Engineering Jobs in Wisconsin (NOW HIRING)

Onsite, four days per week - Kohler, WI Opportunity Kohler is transforming everyday routines into restorative wellness rituals. We are seeking a visionary Engineering Manager to lead the development ...

Onsite Location:  Onsite, four days per week - Kohler, WI Opportunity Kohler is transforming everyday routines into restorative wellness rituals. We are seeking a visionary Engineering Manager to ...

Manufacturing Programmer

Mequon, WI · On-site

$23.50 - $32.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate will possess strong CAD/CAM skills, a solid understanding of manufacturing processes, and the ability to transform engineering designs into efficient, production-ready programs.

Construction Engineering Supervisor

Stevens Point, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... transforming skylines, our work helps people and communities thrive. We are the world's trusted ... Join us. The Wisconsin Construction Engineering Supervisor will have a background in the ...

Construction Engineering Supervisor

Stevens Point, WI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... transforming skylines, our work helps people and communities thrive. We are the world's trusted ... Join us. The Wisconsin Construction Engineering Supervisor will have a background in the ...

... transform work. * Fosters Inclusion & Diversity and Wellbeing - Acts as an advocate for and ... Lead multiple engineering teams in coordination with VP, Technology to support our growing business ...

Construction Engineering Supervisor

Stevens Point, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... transforming skylines, our work helps people and communities thrive. We are the world's trusted ... Join us. The Wisconsin Construction Engineering Supervisor will have a background in the ...

... transform work. * Fosters Inclusion & Diversity and Wellbeing - Acts as an advocate for and ... Lead multiple engineering teams in coordination with VP, Technology to support our growing business ...

Ability to explain Thevenin and Norton equivalents, transfer functions, Laplace transforms, and Maxwell equations while preparing students for electrical engineering coursework, the FE examination ...

Ability to explain Thevenin and Norton equivalents, transfer functions, Laplace transforms, and Maxwell equations while preparing students for electrical engineering coursework, the FE examination ...

WI · On-site

$120 - $160/hr

AI Engineering Team Lead page is loaded## AI Engineering Team Leadlocations: Hungary Remote: Leuven ... our purpose is to transform lives by unlocking better evidence. It's a cause that unites and ...

Showing results 41-60

Transformer Engineering information

See Wisconsin salary details

$41.9K

$142.9K

$205.9K

How much do transformer engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for transformer engineering in Wisconsin is $142,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $159,000.00 per year, depending on experience, location, and employer.

What is transformer engineering?

A Transformer Engineering job involves the design, development, testing, and maintenance of electrical transformers used in power transmission and distribution systems. Engineers in this field work on improving transformer efficiency, reliability, and performance while ensuring compliance with industry standards. They may collaborate with electrical utilities, manufacturers, and research teams to develop innovative solutions for energy systems. Responsibilities can include material selection, thermal analysis, insulation design, and failure diagnostics.

What skills and qualifications are needed for transformer engineering?

To thrive as a Transformer Engineer, you need a strong background in electrical engineering, power systems, and transformer design principles, typically supported by a relevant engineering degree. Familiarity with CAD software, simulation tools like PSCAD or ANSYS, and industry standards such as IEEE or IEC is crucial. Problem-solving, effective project management, and strong communication skills help you excel when working with multidisciplinary teams and clients. These capabilities ensure safe, efficient, and innovative solutions for power transmission and distribution networks.

What are common challenges faced by transformer engineers and how are they addressed?

Transformer Engineers often face challenges related to designing equipment that meets strict efficiency, safety, and reliability standards while operating under varying environmental and load conditions. Addressing these challenges requires continual collaboration with manufacturing, quality assurance, and field service teams to troubleshoot issues and optimize performance. You may also need to stay updated on evolving regulatory standards and advancements in transformer materials or technology. Companies typically support engineers through ongoing training, cross-functional team meetings, and opportunities to participate in industry conferences, helping you stay ahead of technical obstacles and industry trends.

How much does a transformer engineer make?

Transformer engineers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, education, and location. Senior roles or those with specialized skills in electrical design or testing can earn higher salaries, often exceeding $120,000. Compensation may also include benefits such as health insurance and retirement plans.

What are popular job titles related to Transformer Engineering jobs in Wisconsin?

For Transformer Engineering jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Transformer Engineering jobs in Wisconsin look for?

The top searched job categories for Transformer Engineering jobs in Wisconsin are:

Infographic showing various Transformer Engineering job openings in Wisconsin as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 100% In-person job distribution, with an average salary of $142,902 per year, or $68.7 per hour.

Forward Deployed Engineer- Snowflake

Deloitte

Milwaukee, WI • On-site

Full-time

Re-posted yesterday


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

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


 The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

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 $134,500 to $265,100.

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.

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Snowflake FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


 The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Snowflake including hands-on experience with one of the following key platforms; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

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 $134,500 to $265,100.

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.

Education:Bachelor's DegreeEmployment Type:

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