1

E Learning Developer Jobs in Madison, WI (NOW HIRING)

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Continuously improve skills and knowledge through training and self-learning in both data ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Continuously improve skills and knowledge through training and self-learning in both data ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals ... Continuously improve skills and knowledge through training and self-learning in both data ...

... encouraged, continuous learning and improvement are fostered, teamwork and open/honest ... Provide services in both English and the required foreign language (e.g., Spanish, Hmong, etc.

Plumbing Engineer

Madison, WI · On-site +1

$85K - $107K/yr

Strang shares intelligent A|E|I answers to the most challenging facility requirements through an ... A level of knowledge and commitment to lifelong learning * Ability to thrive in a team-oriented ...

Plumbing Engineer

Madison, WI · On-site +1

$85K - $107K/yr

Strang shares intelligent A|E|I answers to the most challenging facility requirements through an ... A level of knowledge and commitment to lifelong learning * Ability to thrive in a team-oriented ...

Senior Software Engineer

Madison, WI · Remote

$125K - $165K/yr

Mentor other software engineers and contribute to fostering a culture of continuous learning and ... Understanding of various build tools (e.g. vite, npm) * Experience with leading the architecture ...

Senior Software Engineer

Madison, WI

$123K - $162K/yr

Mentor other software engineers and contribute to fostering a culture of continuous learning and ... Understanding of various build tools (e.g. vite, npm) * Experience with leading the architecture ...

Senior Software Engineer

Madison, WI · On-site +1

$123K - $162K/yr

Mentor other software engineers and contribute to fostering a culture of continuous learning and ... Understanding of various build tools (e.g. vite, npm) * Experience with leading the architecture ...

next page

Showing results 1-20

E Learning Developer information

See Madison, WI salary details

$18

$38

$51

How much do e learning developer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for e learning developer in Madison, WI is $38.76, according to ZipRecruiter salary data. Most workers in this role earn between $32.98 and $43.12 per hour, depending on experience, location, and employer.

What jobs pay 10,000 a month without a degree?

An E Learning Developer can potentially earn $10,000 a month through freelance projects, high-demand corporate contracts, or specialized consulting, especially with advanced skills in instructional design, multimedia tools, and e-learning platforms. Achieving this income level often requires building a strong portfolio, gaining experience, and establishing a client base without formal degree requirements.

What is an E-Learning Developer job?

An E-Learning Developer is responsible for designing, developing, and implementing online learning materials and courses. They use instructional design principles, multimedia tools, and e-learning software to create engaging and interactive content. Their role often involves collaborating with subject matter experts, graphic designers, and other stakeholders to ensure effective learning experiences. Additionally, they may be responsible for maintaining and updating e-learning content to keep it relevant and accessible.

How to become an e-learning developer?

To become an e-learning developer, you typically need a bachelor's degree in education, instructional design, computer science, or a related field. Developing skills in e-learning authoring tools like Articulate Storyline or Adobe Captivate, along with knowledge of multimedia production and learning theories, is essential. Gaining experience through internships or project work can also help build a strong portfolio for this role.

What Does an eLearning Developer Do?

As an eLearning developer, you design and implement the structure of online courses using eLearning tools, such as instructional software and applications. You take the blueprint for the course, including content that has been created by an instructional developer, and design and code the lessons. Your duties and responsibilities are to make the lessons visually appealing and engaging while effectively conveying the lessons to students or users. As an eLearning developer, you may work for an education company or a company that designs instructional tools and solutions for employee training.

What skills are needed for an e-learning developer?

An e-learning developer needs strong skills in instructional design, multimedia creation, and e-learning authoring tools such as Articulate Storyline or Adobe Captivate. Proficiency in programming languages like HTML, CSS, or JavaScript, along with good project management and communication skills, are also important for creating effective online learning experiences.

What are the key skills and qualifications needed to thrive in the E Learning Developer position, and why are they important?

To thrive as an E Learning Developer, you need expertise in instructional design, multimedia creation, and a solid understanding of adult learning principles, typically supported by a relevant degree like instructional technology or education. Familiarity with Learning Management Systems (LMS) such as Moodle or Canvas, authoring tools like Articulate Storyline or Adobe Captivate, and experience with SCORM or xAPI standards are highly valuable. Strong project management, creative problem-solving, and effective communication skills help you collaborate and translate complex subjects into engaging online content. These competencies are critical for creating high-quality, impactful learning experiences that meet organizational and learner goals.

What are some common challenges E Learning Developers face in this role?

E Learning Developers often encounter challenges such as adapting content to suit diverse learners, ensuring accessibility compliance, and keeping up with rapidly evolving educational technologies. They may need to collaborate closely with subject matter experts who have varying levels of familiarity with digital tools, making clear communication essential. Managing tight project deadlines while maintaining high engagement and interactivity standards can also be demanding. However, overcoming these common challenges can be highly rewarding, as it directly contributes to the effectiveness and reach of educational programs.

What does an eLearning developer do?

An eLearning developer designs, develops, and implements online training courses and educational content using authoring tools and learning management systems. They collaborate with subject matter experts, create engaging multimedia materials, and ensure courses meet instructional design standards and technical requirements.
What are the most commonly searched types of E Learning Developer jobs in Madison, WI? The most popular types of E Learning Developer jobs in Madison, WI are:
What are popular job titles related to E Learning Developer jobs in Madison, WI? For E Learning Developer jobs in Madison, WI, the most frequently searched job titles are:
What cities near Madison, WI are hiring for E Learning Developer jobs? Cities near Madison, WI with the most E Learning Developer job openings:
Infographic showing various E Learning Developer job openings in Madison, WI as of June 2026, with employment types broken down into 2% Internship, 79% Full Time, 9% Part Time, and 10% Contract. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution, with an average salary of $80,624 per year, or $38.8 per hour.

$114K - $137K/yr

Full-time

Posted 19 days ago


Job description

This role is responsible for the design, development, and maintenance of data integration, analytics, and reporting solutions that support our animal genetics and bioinformatics workloads. The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other omics datasets. This position requires a proactive, self-motivated, and results-oriented individual with a passion for data, a strong understanding of data architecture and warehousing principles, and an appreciation for bioinformatics workflows in a commercial genetics environment. 

Responsibilities 

Data Integration 

  • Design, develop, and maintain robust and efficient ETL/ELT pipelines and processes on Databricks for both operational and bioinformatics datasets (e.g., genomic markers, phenotypic data, laboratory outputs). 

  • Ingest, transform, and harmonize structured and semi-structured biological data from lab systems, LIMS, sequencing platforms, and external partners into the enterprise data platform. 

  • Troubleshoot and resolve Databricks pipeline errors and performance issues. 

  • Optimize data flow performance and minimize data latency across scientific and business use cases. 

  • Implement data quality checks, validations, and reconciliation processes within ETL workflows, including domain-specific checks for genomic and phenotypic data. 

Databricks Development 

  • Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL. 

  • Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. 

  • Integrate Databricks with other data sources and systems, including lab instruments, genomic databases, and on-prem or cloud data stores. 

  • Participate in the design and implementation of data lake architectures that support both traditional analytics and bioinformatics pipelines. 

Data Warehousing 

  • Participate in the design and implementation of data warehousing solutions to support reporting, analytics, and scientific modeling. 

  • Model and curate subject areas for genetics, reproduction, and bioinformatics (e.g., animals, pedigrees, genotypes, breeding values, trials). 

  • Support data quality initiatives and implement data cleansing procedures across business and scientific domains. 

Reporting and Analytics 

  • Collaborate with business users, scientists, geneticists, and bioinformaticians to understand data requirements for department-driven reporting and analytics needs. 

  • Maintain and extend the existing library of complex dashboards and visualizations to surface genetic, reproductive, and operational insights. 

  • Enable self-service analytics for R&D and product teams by exposing well- governed, documented data products. 

  • Troubleshoot and resolve report issues, including performance bottlenecks and data inconsistencies. 

Cloud Platform Experience 

  • Apply strong programming skills in Python, SQL, and Spark to build scalable data and bioinformatics workflows. 

  • Use CI/CD and IaC tools (Terraform, ARM, CloudFormation) to automate deployment of data platform components and analytics environments. 

  • Design and implement Databricks platform architecture on Azure and AWS infrastructure, including environments that support largescale scientific computation. 

  • Contribute to cloud security, governance, and cost optimization practices for data and bioinformatics workloads. 

Bioinformatics and Scientific Collaboration 

  • Partner with geneticists, biostatisticians, and bioinformaticians to translate scientific requirements into scalable data and platform architectures. 

  • Support or orchestrate bioinformatics pipelines (e.g., variant processing, quality control, annotation, genotype imputation, genomic evaluation) using cloud and Databricks capabilities. 

  • Ensure that data models, pipelines, and storage structures meet the needs of downstream analytics, predictive models, and genetic evaluations. 

  • Advocate for best practices in managing sensitive biological and genetic data, including data governance, access control, and compliance with relevant standards and regulations. 

Collaboration and Communication 

  • Thrive in an entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams. 

  • Collaborate effectively with business users, data analysts, scientists, and other IT teams. 

  • Communicate technical information clearly and concisely, both verbally and in writing, to technical and nontechnical stakeholders. 

  • Document all development work, data models, and procedures thoroughly, including bioinformatics and scientific data flows. 

Continuous Growth 

  • Keep abreast of the latest advancements in data integration, cloud platforms, bioinformatics tooling, and data engineering technologies. 

  • Continuously improve skills and knowledge through training and self-learning in both data engineering and bioinformatics domains. 

Requirements 

  • Bachelor's degree in Computer Science, Information Systems, Bioinformatics, Computational Biology, or a related field; a Master's degree is an asset. 

  • 7+ years of experience in data integration and reporting, with experience designing and operating cloud-based data platforms. 

  • Extensive experience with Databricks, including Python, Spark, and Delta Lake. 

  • Strong proficiency with relational databases (e.g., SQL Server, RDS), including TSQL, stored procedures, and functions. 

  • Experience with data warehousing concepts and best practices. 

  • Experience with Microsoft Azure cloud platform; exposure to Microsoft Fabric is desirable. 

  • Hands on experience working with biological, genomic, or other omics datasets in a bioinformatics or life sciences setting (e.g., sequence data, SNP arrays, GWAS outputs, phenotypic traits). 

  • Familiarity with common bioinformatics tools, data formats (e.g., FASTQ, VCF, PLINK), and workflows is highly desirable. 

  • Strong analytical and problem-solving skills, with the ability to reason about complex data and scientific requirements. 

  • Excellent communication and interpersonal skills. 

  • Ability to work independently and as part of a cross-functional team across IT, science, and business. 

  • Experience with Agile methodologies. 

  • Demonstrated background in bioinformatics or computational biology, preferably supporting genetics, breeding, or life science research in an applied or commercial context. 

  • Must be legally authorized to work in the United States.

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.