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Entry Level Performance Engineer Jobs in Madison, WI

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Monitor and troubleshoot trends in genetic rankings and performance data. * Maintain up-to-date ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Monitor and troubleshoot trends in genetic rankings and performance data. * Maintain up-to-date ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Monitor and troubleshoot trends in genetic rankings and performance data. * Maintain up-to-date ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Monitor and troubleshoot trends in genetic rankings and performance data. * Maintain up-to-date ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Monitor and troubleshoot trends in genetic rankings and performance data. * Maintain up-to-date ...

About The Company A nationally recognized consulting engineering firm specializing in mechanical ... For entry-level Designer I roles, work is performed on-site in the office every day to support ...

E. methodologies, have enhanced the performance of 70 of the nation's top 100 health systems. Our ... Provide architectural guidance to developers regarding the following core development technologies:

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Entry Level Performance Engineer information

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How much do entry level performance engineer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for entry level performance engineer in Madison, WI is $60.56, according to ZipRecruiter salary data. Most workers in this role earn between $49.66 and $68.56 per hour, depending on experience, location, and employer.

What are entry level performance engineers?

Entry level performance engineers are professionals who help analyze, test, and optimize the speed, efficiency, and scalability of software applications or systems. They work under the guidance of senior engineers to identify performance bottlenecks, run tests, collect data, and recommend improvements. Typically, they use specialized tools to simulate real-world usage and ensure applications meet performance goals. This role is ideal for recent graduates or those new to the field, and it can lead to advanced engineering positions with experience.

What is the difference between Entry Level Performance Engineer vs Performance Analyst?

AspectEntry Level Performance EngineerPerformance Analyst
Required CredentialsBachelor's in Computer Science, Engineering, or related field; basic knowledge of performance testing toolsBachelor's in IT, Computer Science, or related; understanding of data analysis and performance metrics
Work EnvironmentSoftware development teams, testing labs, IT departmentsData analysis teams, IT departments, business units
Employer & Industry UsageTech companies, software firms, engineering teamsIT firms, consulting agencies, large corporations

Entry Level Performance Engineers focus on testing and optimizing software performance, while Performance Analysts analyze data to improve system efficiency. Both roles require foundational technical skills and are common in tech and IT industries, but they emphasize different aspects of performance management.

What are the key skills and qualifications needed to thrive as an Entry Level Performance Engineer, and why are they important?

To thrive as an Entry Level Performance Engineer, you need a strong grasp of software development concepts, performance testing methodologies, and a relevant degree in computer science or engineering. Familiarity with tools like JMeter, LoadRunner, and application monitoring systems is typically required. Analytical thinking, problem-solving, and effective teamwork are the soft skills that set top performers apart. These skills and qualifications are crucial to identifying system bottlenecks, ensuring application reliability, and collaborating efficiently with cross-functional teams.

What are some common challenges faced by entry level performance engineers, and how can they be addressed?

Entry level performance engineers often encounter challenges such as identifying performance bottlenecks in complex systems and interpreting large volumes of test data. It's common to feel overwhelmed when learning new performance testing tools or scripting languages. Collaborating closely with senior engineers and developers, asking questions, and actively participating in team reviews can ease the learning curve. Over time, gaining hands-on experience with monitoring tools and understanding system architectures will help you develop the skills needed to tackle these challenges effectively.
What are the most commonly searched types of Performance Engineer jobs in Madison, WI? The most popular types of Performance Engineer jobs in Madison, WI are:
What are popular job titles related to Entry Level Performance Engineer jobs in Madison, WI? For Entry Level Performance Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Performance Engineer jobs in Madison, WI look for? The top searched job categories for Entry Level Performance Engineer jobs in Madison, WI are:

Quantitative Geneticist

Urus

Madison, WI โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

The Quantitative Geneticist at URUSย is responsible forย producing industry-leading bovine genetics through innovative quantitative genetics analysis and technical expertise. This role involves development of innovative approaches to genetic advancement with hands-on data analysis and analytical tasks to support scientific and operational excellence with operational goals to deploy genomic and genetic selection tools within the PEAK breeding program.ย 

Reporting to the Chief Science Officer of Acceligen,ย who leads the team in the Genetic Advancement and Trait Discovery as part of the Innovation group at URUS. Theย Quantitative Geneticistย will ideally be based in Madison, WI.ย 

RESPONSIBILITIESย 

Research and Developmentย 

  • Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software.
  • Utilize genomic data and/or machine learning to enhance prediction models.ย 

  • Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran

  • Design and refine software pipelines that empower end-users to work independently.ย 

  • Use data-driven analysis to support project decision-making and breeding program optimization

  • Identify opportunities for innovation by actively following scientific developments in genetics, translating them into practical applications for URUS.

  • Ensure accuracy, reliability, andย timelyย delivery of research outputs.ย 

ย Strategic Communication and Planningย 

  • Prepare materials for URUS internal and external education channels.ย 

  • Report on project status promptly and professionally.ย 

  • Contribute to long-term research and innovation strategies.ย 

  • Activelyย participateย in team and cross-functional meetings.ย 

  • Attend scientific, technical, and commercial events to support knowledgeย exchange and visibility.ย 

Technical and Operational Supportย 

  • Provide technical and operational support toย URUS breeding programs to improve output and efficiency.ย 

  • Interpret genetic evaluation results and communicate upcoming changes.ย 

  • Monitor and troubleshoot trends in genetic rankings and performance data.ย 

  • Maintain up-to-date professional and technicalย expertiseย relevant to genetics and operations.ย 

  • Deploy genetic diversity management tools within the breeding program.ย 

PROFESSIONAL QUALIFICATIONS AND EXPERIENCEย 

  • Ph.D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a related field.ย 

  • Knowledge of dairy or beef cattle productionย preferred.ย 

  • Technical and Scientific Expertise

    • Demonstrated experience with genomic evaluation processes, including data ingestion and integration, genotype imputation, variance component estimation, and breeding value prediction.

    • Strong background in statistical analysis of large and complex datasets.

    • Knowledge of genomewide association analysis (GWAS).

    • Familiarity with dairy or beef cattle production systems (preferred).

  • Programming and Software Skills

    • Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R, Python, and SQL.

    • Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks

    • Proficient in Microsoft Office applications.

  • Excellent communication skills with fluency in English.

  • Ability to build strong, effective relationships across teams and organizational levels.

  • Skilled at engaging with stakeholders from entrylevel employees to executive leadership.

  • Strong interpersonal, analytical, and decisionmaking abilities.

  • Effective timemanagement skills and the ability to balance multiple priorities.

  • Intellectual curiosity with a commitment to continuous learning and identifying new opportunities.

  • Willingness to travel occasionally.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.ย  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.