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Senior Data Warehouse Developer Jobs in Fall River, WI

Data Engineer

Watertown, WI

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Senior Software Engineer - Data

Madison, WI · On-site

$123K - $162K/yr

... warehouse transformations, and API exposure. * Set Technical Standards: Define what accuracy ... data best practices. Who You Are * Technical Expert: You are a senior level engineer who enjoys ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Stay current with Azure, Power BI, GIS tools, and data engineering best practices * Recommend ... Familiarity with data warehousing platforms (e.g., Snowflake, Redshift, Azure Synapse) * Experience ...

Education: 4-year technical (Computer Science, Engineering, etc.) degree or equivalent experience ... Knowledge of data warehousing technologies and methodologies * Experience designing BI and DWH ...

Education: 4-year technical (Computer Science, Engineering, etc.) degree or equivalent experience ... Knowledge of data warehousing technologies and methodologies * Experience designing BI and DWH ...

Senior Staff Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Senior Staff Data Engineer Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Staff Data Engineer to lead the design, development, and scaling of our enterprise data platform.

Showing results 21-40

Senior Data Warehouse Developer information

See Fall River, WI salary details

$85.4K

$134.7K

$165.8K

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

As of Sep 7, 2026, the average yearly pay for senior data warehouse developer in Fall River, WI is $134,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $145,500.00 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 near Fall River, WI are hiring for Senior Data Warehouse Developer jobs?

Cities near Fall River, WI with the most Senior Data Warehouse Developer job openings:

Infographic showing various Senior Data Warehouse Developer job openings in Fall River, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $134,719 per year, or $64.8 per hour.

$109K - $131K/yr

Full-time

Posted 12 days ago


Key responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL.

  • Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.

  • Troubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency.


Job description

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads.

This role works across both modern and established data technologies, with a focus on improving performance, reliability, data quality, and scalability. We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL.
  • Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.
  • Troubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency.
  • Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing platform modernization.
  • Implement data quality checks, validation, cleansing, and data warehousing best practices across data pipelines and reporting environments.
  • Integrate Databricks with enterprise applications, databases, and other data sources.
  • Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable technical solutions.
  • Contribute to continuous improvement through emerging data engineering practices, AI-assisted development tools, documentation, and ongoing learning
     

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Strong hands-on experience with Databricks, including Python, Spark, and Delta Lake.
  • Strong SQL Server and data warehousing experience, including T-SQL.
  • Experience with SSIS and SSRS.
  • Experience with Microsoft Azure; Microsoft Fabric is a plus.
  • Experience using AI-assisted development tools as part of the engineering workflow.
  • Strong analytical, problem-solving, communication, and collaboration skills.
     

For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.

Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.

Whether near or far, large or small, VAS is at the heart of your dairy.

VAS has deep roots in the industry through its origin within the URUS family of companies. 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.