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Entry Level Sql Developer Jobs in Wisconsin (NOW HIRING)

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

... Entry-Level position within field. Requires little to no experience in discipline. Conducts ... Provide architectural guidance to developers regarding the following core development technologies:

... Entry-Level position within field. Requires little to no experience in discipline. Conducts ... Provide architectural guidance to developers regarding the following core development technologies:

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Entry Level Sql Developer information

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$53

$73

How much do entry level sql developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level sql developer in Wisconsin is $53.09, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $60.19 per hour, depending on experience, location, and employer.

What Does an Entry-Level SQL Developer Do?

Entry-level SQL jobs focus on the use of the structured query language to develop a program or manage a database. As a developer, you may be asked to mix computer science with scripting in a variety of programming environments while ensuring the code remains as functional as possible. Entry-level SQL workers also perform a variety of other tasks, such as converting databases, migrating data, and administering database security. Since these are entry-level positions, your job involves learning as much as you can. Companies often use this role as a type of extended training period, so you may work under a senior SQL developer or administrator who checks your work before putting it into use.

What are some common challenges faced by entry level SQL developers, and how can they overcome them?

Entry level SQL developers often encounter challenges such as understanding complex database structures, writing efficient queries, and debugging performance issues. It's common to feel overwhelmed when working with large datasets or unfamiliar database management systems. To overcome these obstacles, new developers should proactively seek mentorship from experienced team members, utilize available documentation, and practice writing and optimizing SQL queries regularly. Participating in code reviews and collaborating with other developers also helps build confidence and technical skills quickly.

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

To thrive as an Entry Level SQL Developer, you need a solid understanding of SQL programming, database fundamentals, and a relevant degree or coursework in computer science or information systems. Familiarity with relational database management systems like Microsoft SQL Server, MySQL, or Oracle, as well as version control tools, is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret requirements and collaborate with team members. These competencies are vital to ensure accurate data management, efficient problem-solving, and seamless integration within development teams.

What does an Entry Level SQL Developer do?

An Entry Level SQL Developer is responsible for creating, maintaining, and optimizing databases using SQL (Structured Query Language). They assist in writing queries, troubleshooting data issues, and supporting database design under the supervision of senior developers. Their role often involves collaborating with other IT professionals to ensure data integrity and efficient data retrieval. Entry level SQL developers typically work on basic database tasks and gradually progress to more complex projects as they gain experience.

What is the difference between Entry Level Sql Developer vs Data Analyst?

AspectEntry Level Sql DeveloperData Analyst
Required SkillsSQL, basic database knowledge, scriptingSQL, data visualization, statistical analysis
CertificationsSQL certifications, basic database coursesData analysis certifications, Excel, SQL
Work EnvironmentDatabase teams, IT departmentsBusiness units, marketing, finance
Typical TasksWriting queries, database maintenanceData interpretation, reporting

While both roles involve SQL skills, Entry Level Sql Developers focus on database creation and management, whereas Data Analysts interpret data to support business decisions. The roles often overlap in SQL knowledge but differ in their primary objectives and tools used.

What are the most commonly searched types of Sql Developer jobs in Wisconsin? The most popular types of Sql Developer jobs in Wisconsin are:
What are popular job titles related to Entry Level Sql Developer jobs in Wisconsin? For Entry Level Sql Developer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level Sql Developer jobs in Wisconsin look for? The top searched job categories for Entry Level Sql Developer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Entry Level Sql Developer jobs? Cities in Wisconsin with the most Entry Level Sql Developer job openings:
Infographic showing various Entry Level Sql Developer job openings in Wisconsin as of July 2026, with employment types broken down into 83% Full Time, 6% Part Time, 2% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $110,430 per year, or $53.1 per hour.
Quantitative Geneticist

Quantitative Geneticist

Urus Group LP

Madison, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

The Quantitative Geneticist at URUS is responsible for 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. 

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

RESPONSIBILITIES 

Research and Development 

  • 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. 

  • 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. 

  • 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, and timely delivery of research outputs. 

 Strategic Communication and Planning 

  • Prepare materials for URUS internal and external education channels. 

  • Report on project status promptly and professionally. 

  • Contribute to long-term research and innovation strategies. 

  • Actively participate in team and cross-functional meetings. 

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

Technical and Operational Support 

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

  • Interpret genetic evaluation results and communicate upcoming changes. 

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

  • Maintain up-to-date professional and technical expertise relevant to genetics and operations. 

  • Deploy genetic diversity management tools within the breeding program. 

PROFESSIONAL QUALIFICATIONS AND EXPERIENCE 

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

  • Knowledge of dairy or beef cattle production preferred. 

  • 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.  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.