ZipRecruiter

Log In

2

Entry Level Data Engineering Jobs in Madison, WI

Farm Systems

Quantitative Geneticist

Madison, WI · On-site

Use data-driven analysis to support project decision-making and breeding program optimization ... Programming and Software Skills * Proficiency with genetic evaluation and statistical software such ...

Urus

Quantitative Geneticist

Madison, WI · On-site

Use data-driven analysis to support project decision-making and breeding program optimization ... Programming and Software Skills * Proficiency with genetic evaluation and statistical software such ...

Alta Genetics

Quantitative Geneticist

Madison, WI · On-site

Use data-driven analysis to support project decision-making and breeding program optimization ... Programming and Software Skills * Proficiency with genetic evaluation and statistical software such ...

Yahara Software

Project Coordinator

Madison, WI · On-site

... data analytics company with over 20 years of history. Our foundation for success is simple-we take ... This entry-level Project Coordinator role is primarily responsible for completing the day-to-day ...

Ball

Operational Excellence Specialist

Fort Atkinson, WI · On-site

$66K - $93K/yr

The Operational Excellence Specialist is an entry level position. It is both, a facilitative leader ... Bachelor's Degree in engineering, Science, Supply Chain or equivalent work-related experience * Job ...

Symphony Corp

Application Architect I

Madison, WI

... financial and administrative data. Our approach merges the client's existing expertise ... Provide architectural guidance to developers regarding the following core development technologies:

Symphony Corp

Application Architect I

Madison, WI · On-site

... financial and administrative data. Our approach merges the client's existing expertise ... Provide architectural guidance to developers regarding the following core development technologies:

Yahara Software

Project Coordinator

Madison, WI · Hybrid

... data analytics company with over 20 years of history. Our foundation for success is simple-we take ... This entry-level Project Coordinator role is primarily responsible for completing the day-to-day ...

Yahara Software

Project Coordinator

Madison, WI · On-site

... data analytics company with over 20 years of history. Our foundation for success is simplewe take ... This entry-level Project Coordinator role is primarily responsible for completing the day-to-day ...

next page

Showing results 1-20

All JobsEntry Level Data Engineering JobsEntry Level Data Engineering Jobs in Madison, WI

Entry Level Data Engineering information

See Madison, WI salary details

$11

$20

$31

How much do entry level data engineering jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for entry level data engineering in Madison, WI is $20.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $22.02 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in cloud platforms, big data tools, and extensive industry experience. These roles are rare and usually involve leadership responsibilities or niche expertise.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for entry-level positions. Building a solid foundation in data concepts and gaining hands-on experience can improve chances of securing such roles.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Is data engineering an entry level job?

Data engineering can be an entry level role, especially for those with foundational skills in programming, databases, and cloud platforms. However, many positions require some experience with data pipelines, scripting, and tools like SQL, Python, or Spark, so entry-level candidates should focus on developing these skills and relevant certifications.
What are the most commonly searched types of Data Engineering jobs in Madison, WI? The most popular types of Data Engineering jobs in Madison, WI are:
What are popular job titles related to Entry Level Data Engineering jobs in Madison, WI? For Entry Level Data Engineering jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Madison, WI look for? The top searched job categories for Entry Level Data Engineering jobs in Madison, WI are:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Madison, WI as of June 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,420 per year, or $20.4 per hour.

Quantitative Geneticist

Farm Systems

Madison, WI • On-site

Full-time

Posted 15 days ago

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.


Apply