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Senior Data Warehouse Developer Jobs in Wisconsin

Roehl Transport

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

Multiple years of experience building and maintaining data warehousing, data integration, or ... such as Azure DevOps or GitHub. * Strong communication skills and the ability to partner ...

Serve Robotics

$211K - $246K/yr

... Sr. Data/Analytics Engineers. * Data leadership experience: Proven experience managing data ... Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... Experience with data warehousing, ETL/integration processes, or cloud analytics platforms.

Generac

Senior Data Architect

Waukesha, WI · On-site

$67.25 - $90/hr

This role sits at the intersection of architecture, data engineering, and platform strategy-owning ... Strong experience with data warehouse, data lake, andlakehouse design patterns * Experience ...

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

... to-warehouse ingestion with Fivetran, develop analytics-ready transformations withdbt, and ... developer workflows, enablement, success measures, and a phased rollout. * Lead design and code ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

About the Role As Senior Software Engineer, you will collaborate closely with design, product and ... Design and optimize SQL and NoSQL data models for data lakes and warehouses (BigQuery, MongoDB ...

Elephas

Senior Data Scientist

Madison, WI · On-site

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 ...

Elephas

Senior Data Scientist

Madison, WI · On-site

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 ...

ATI

Sr Data Scientist

Cudahy, WI

As a Sr Data Scientist your work may be focused in a variety of areas, including Machine learning ... S. degree in Engineering, Computer Science, or related field * Experience in deep learning ...

ATI

Sr Data Scientist

Cudahy, WI · On-site

As a Sr Data Scientist your work may be focused in a variety of areas, including Machine learning ... S. degree in Engineering, Computer Science, or related field * Experience in deep learning ...

Next Gen Alloys

Sr Data Scientist

Cudahy, WI · On-site

As a Sr Data Scientist your work may be focused in a variety of areas, including Machine learning ... S. degree in Engineering, Computer Science, or related field * Experience in deep learning ...

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All JobsData Warehouse Developer JobsSenior Data Warehouse Developer JobsSenior Data Warehouse Developer Jobs in Wisconsin

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 Aug 18, 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 Engineer

MGIC Investment Corporation

Milwaukee, WI • On-site

$104K - $141K/yr

Full-time

Retirement, PTO

Posted 13 days ago

Job description

At MGIC, we take pride in knowing that what we do matters. As pioneers of private mortgage insurance, we help people achieve homeownership sooner - making affordable low-down-payment mortgages a reality. Our efforts have helped more than 14 million people get the keys to their own homes sooner than otherwise possible. Every position is critical to our company's success - from the analytical to the technical; from the innovative to the operational. The customer-facing roles to behind-the-scenes experts, we're all part of one team. We're an organization with a national footprint that's large enough to never lack for a new challenge, but small enough for an opportunity to make an impact and influence decisions. Come make a difference at MGIC.
Summary:
We're building great things at MGIC, and we are excited to be offering this position. This is an opportunity help us create the next generation data platform. Becoming Data-driven is at the core of our transformation - join us and help us build the future!
We are looking for a Senior Data Engineer who is passionate about building trusted, scalable data products with modern cloud technologies. As part of the Data & Analytics team, you will design and deliver a Snowflake-centered data platform, automate source-to-warehouse ingestion with Fivetran, develop analytics-ready transformations with dbt, and orchestrate production workflows with Astronomer and Apache Airflow.
Responsibilities:
  • Define and evolve data integration frameworks, engineering standards, reusable patterns, and governance practices for a modern cloud data platform.

  • Design scalable Snowflake data architectures, including databases, schemas, tables, views, virtual warehouses, role-based access, and approaches for performance and cost optimization.

  • Build and operate reliable batch and incremental ingestion pipelines using Fivetran connectors, including source configuration, schema-change handling, sync monitoring, troubleshooting, and custom connector patterns when needed.

  • Develop modular, maintainable dbt models in Snowflake; implement source definitions, tests, documentation, lineage, incremental strategies, and reusable macros.

  • Author, schedule, deploy, and monitor data workflows with Apache Airflow on Astronomer, applying effective dependency management, retry, alerting, backfill, and failure-recovery practices.

  • Implement observability and data-quality controls across ingestion, orchestration, and transformation layers so production data is accurate, timely, and available to stakeholders.

  • Partner with business, analytics, architecture, security, and engineering teams to translate requirements into durable data products and a long-term platform roadmap.

  • Deliver changes through Git-based development, automated testing, code review, and CI/CD practices across dbt and Airflow projects.

  • Troubleshoot data and pipeline issues across source systems, Fivetran, Astronomer, dbt, Snowflake, and downstream consumption layers.

  • Evaluate Cortex Code capabilities and lead the development of a practical adoption plan for incorporating AI-assisted engineering into solution delivery processes, including prioritized use cases, governance and security guardrails, developer workflows, enablement, success measures, and a phased rollout.

  • Lead design and code reviews, share engineering best practices, and mentor junior data engineers.

Required skills:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or relevant experience.

  • 5 or more years of data engineering experience, including cloud data warehousing, dimensional data modeling, ETL/ELT, analytics enablement, and production pipeline support.

  • Hands-on Snowflake experience, including advanced SQL, data loading and transformation, virtual warehouse sizing, query optimization, access controls, and cost-conscious platform operation.

  • Experience building production-grade dbt projects with modular models, tests, documentation, source freshness, incremental models, macros, packages, and CI/CD.

  • Experience developing and operating Apache Airflow DAGs; familiarity with Astronomer or another managed Airflow platform, including deployment, monitoring, alerting, and troubleshooting.

  • Experience implementing and supporting managed ELT with Fivetran, including connector setup, incremental synchronization, schema evolution, monitoring, and issue resolution.

  • Strong Python and SQL skills; experience with APIs, data formats, shell scripting, and Git-based development workflows.

  • Experience with AWS services such as S3, Lambda, IAM, and related cloud data services, plus Agile delivery and end-to-end automation practices.

  • Knowledge of Cortex Code and AI-assisted software development practices, or demonstrated willingness and ability to build a responsible adoption plan that integrates the technology into solution delivery processes while maintaining security, governance, code-review, testing, and change-management standards.

  • Strong communication, problem-solving, and collaboration skills, with the ability to influence technical decisions and mentor other engineers.

Pay Range:
$105,590.00 - $179,510.00
This range aligns with current market data and reflects our commitment to competitive and equitable compensation. Salary offers are based on factors such as experience, skills, education, and training. The range may vary in certain locations to reflect local market conditions. It is not typical to initiate pay at the top of the range to account for internal equity and allow for future and continued salary growth
Enjoy these benefits from day one:
• Competitive Salary & pay-for-performance bonus
• Financial Benefits (401k with company match, profit sharing, HSA, wellness program)
• On-site Fitness Center and classes (corporate office)
• Paid-time off and paid company holidays
• Business casual dress
For additional information about MGIC and to apply, please visit our website at www.mgic.com/careers.
Note to all recruitment agencies:
MGIC does not accept unsolicited agency resumes. Any unsolicited resumes sent to MGIC, directly or indirectly, will be considered MGIC property. MGIC is not responsible for any agency fees associated with unsolicited resumes. A recruiting agency must have a valid, written and fully executed agency agreement to assist with a requisition.

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