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Senior Data Warehouse Developer Jobs in Wisconsin

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

Senior Data Analyst

Oregon, WI · On-site

$150 - $200/hr

Advanced SQL skills and proficiency in a programming language (e.g., Python, Java, Scala, or C ... Hands-on experience with Snowflake or other modern cloud data warehouses. * Strong foundation in ...

New

WI · On-site

$150 - $200/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... Strong Python and SQL programming skills with demonstrated proficiency in data extraction, data ...

Establish and lead product engineering and software standards * Ideate products from user problem ... Design and optimize data models for data lakes and warehouses * Implement real-time ingestion and ...

New

WI · On-site

$200 - $250/hr

Tiger Analytics is looking for a highly experienced Senior Data & Analytics Solution Architect to ... Warehouse, Data Lake, and Lakehouse architectures. * Expertise in modern data engineering ...

Partner with Product Management, Engineering, Data Science, and Functional teams to gather ... Hands-on experience with Snowflake or other modern cloud data warehouses. * Strong foundation in ...

New

WI · On-site

$100 - $125/hr

If you are a senior software developer/Computer Scientist - you may be able to cross over to Data Science! Need a challenge in your work? Want to make a positive impact on U.S. National Security? We ...

WI · On-site

Tiger Analytics is looking for a highly experienced Senior Data & Analytics Solution Architect to ... Warehouse, Data Lake, and Lakehouse architectures. * Expertise in modern data engineering ...

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

POSITION SUMMARY The Senior Data Engineer is the technical leader for IGEN's Data Foundation ... Optimizes cost and performance across the Snowflake platform - including warehouse sizing, query ...

Data Engineer

Madison, WI · On-site

$100 - $125/hr

As a Data Engineer , you will be responsible for implementing and optimizing datapipelines ... Design, develop, and maintain the company's data warehouse and related data marts. * Implement and ...

Sr. Data Engineer

Pewaukee, WI · On-site

$125 - $150/hr

... and DevOps platforms. * Experience supporting data governance, data quality, and enterprise data management practices. Preferred Qualifications * Experience with data warehouses, data marts ...

New

Sr. Data Engineer

Pewaukee, WI · On-site +1

$112K - $134K/yr

... DevOps platforms. Experience supporting data governance, data quality, and enterprise data management practices. Preferred Qualifications Experience with data warehouses, data marts, lakehouses, or ...

Showing results 41-60

Senior Data Warehouse Developer information

See Wisconsin salary details

$76.7K

$121K

$148.9K

How much do senior data warehouse developer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data warehouse developer in Wisconsin is $120,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a senior data warehouse developer?

Senior Data Warehouse Developers are experienced IT professionals who design, build, and maintain large-scale data storage solutions known as data warehouses. Their work involves extracting, transforming, and loading (ETL) data from various sources to ensure it is structured and accessible for business intelligence and analytics. They collaborate with data analysts, engineers, and business stakeholders to optimize data architecture and ensure high performance, security, and reliability of data systems. Typically, they also mentor junior developers and play a key role in setting data management standards and best practices.

How does a senior data warehouse developer typically collaborate with data analysts and business stakeholders?

Senior Data Warehouse Developers frequently work closely with data analysts and business stakeholders to understand specific reporting requirements and translate them into efficient data models. They participate in meetings to gather requirements, clarify data needs, and explain technical constraints or possibilities. Additionally, they support analysts by ensuring data accuracy, optimizing query performance, and troubleshooting data issues. This collaborative approach helps align the data warehouse solutions with business goals and ensures stakeholders receive actionable insights.

What are the key skills and qualifications needed to thrive as a senior data warehouse developer, and why are they important?

To thrive as a Senior Data Warehouse Developer, you need advanced SQL expertise, strong data modeling skills, and experience with ETL processes, typically supported by a degree in computer science or a related field. Proficiency with data warehouse platforms (such as Snowflake, Amazon Redshift, or Microsoft SQL Server), ETL tools (like Informatica or Talend), and relevant certifications are highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and ensure data quality. These skills and qualities are crucial for designing scalable data solutions, optimizing performance, and supporting business intelligence initiatives.

What is the difference between Senior Data Warehouse Developer vs Data Warehouse Architect?

AspectSenior Data Warehouse DeveloperData Warehouse Architect
CredentialsTypically requires SQL, ETL, and data modeling certifications; often a bachelor's degree in CS or related fieldSimilar certifications; often a master's degree or advanced certifications in data architecture or cloud platforms
Work EnvironmentFocuses on developing, testing, and maintaining data warehouse solutionsDesigns overall data architecture, oversees implementation, and ensures scalability
Employer & Industry UsageUsed across industries for data integration and reportingUsed in organizations needing complex data systems and strategic data planning

The main difference is that a Senior Data Warehouse Developer primarily builds and maintains data warehouses, while a Data Warehouse Architect designs the overall data architecture and strategy. Both roles require similar technical skills, but the architect has a broader, strategic focus.

What cities in Wisconsin are hiring for Senior Data Warehouse Developer jobs?

Cities in Wisconsin with the most Senior Data Warehouse Developer job openings:

Infographic showing various Senior Data Warehouse Developer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,991 per year, or $58.2 per hour.

Senior Data Scientist

Elephas

Madison, WI • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Summary

Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative environment. Candidates should be eager to learn and flexible with an aptitude for understanding and synthesizing scientific and medical information, strong analytical and problem-solving skills. A successful candidate will not only exemplify these skills but also be passionate about improving the lives of cancer patients, grounded and gritty, and an enthusiastic teacher.

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps across different assay versions, engineering features to feed modeling, evaluating different types of modeling approaches, training unsupervised and supervised data models and reporting performance, assimilating, summarizing, and visualizing results, and presenting results to Commercial, RD and Scientific Communications stakeholders.

Essential Duties and Responsibilities

  • Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement.
  • Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets.
  • Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable for broader team use.
  • Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches.
  • Lead complex data presentation to technical and non-technical stakeholders.
  • Provide technical leadership through code review, methodological guidance, and best-practice development.
  • Mentor junior and mid-level data scientists, supporting their technical growth, project execution, and decision-making.

Education/Experience/Skills

  • Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field
  • Strong background in quantitative analysis and statistics
  • 1-3 years experience analyzing biomedical datasets is preferred
  • Experience programming in Python is preferred
  • Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc.
  • Experience explaining complex data methodologies to non-technical stakeholders
  • Familiarity with software development life cycle and best practices
  • Detail-oriented with strong organizational skills

We offer our employees competitive compensation and benefits, including paid time off, health insurance, life insurance, flexible spending accounts, a 401(k) plan, and stock options.


DISCLAIMER

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.


Elephas logo

About Elephas

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

Madison, WI, US

Year founded

2020