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Data Engineer Data Bricks Jobs in Madison, WI (NOW HIRING)

AgSource

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

Bakertilly

Associate Data Engineer

Madison, WI · On-site

$85K - $162K/yr

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our midmarket and enterprise clients. Working primarily inside the Microsoft stack ...

jobr.pro

Software Engineer, Data Migration

Oregon, WI · On-site

$80 - $120/hr

... data synchronization. We're looking for a Software Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and ...

ApartmentIQ

Senior Software Engineer - Data

Madison, WI

$123K - $162K/yr

The Role We are looking for a Senior Software Engineer to drive the evolution of our shared data platform - the core infrastructure that powers all three ApartmentIQ products. In this role, you will ...

Husch Blackwell LLP

Data Engineering Manager

Madison, WI · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Husch Blackwell Llp

Data Engineering Manager

Madison, WI · On-site +1

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

1 point system

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Python (PySpark preferred) Data Platforms / Storage * Cloud data platforms (Azure preferred; AWS/GCP acceptable) * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent * Object storage-based data ...

Abbott

Director, Data Engineering

Madison, WI · On-site

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

Abbott

Director, Data Engineering

Madison, WI

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

Innovizant LLC

Data Scientist

Madison, WI

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

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Showing results 21-40

All JobsData Engineer Data Bricks JobsData Engineer Data Bricks Jobs in Madison, WI

Data Engineer Data Bricks information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do data engineer data bricks jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer data bricks in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

What are popular job titles related to Data Engineer Data Bricks jobs in Madison, WI?

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What job categories do people searching Data Engineer Data Bricks jobs in Madison, WI look for?

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Data Engineer Data Bricks jobs near you

Senior Data Engineer

AgSource

Watertown, WI • On-site

$101K - $137K/yr

Full-time

Posted 11 days ago

Job description

This role is responsible for the design, development, and maintenance of data integration and reporting solutions. Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles. A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected.

Responsibilities

Data Integration

  • Design, develop, and maintain robust and efficient ETL pipelines and processes on Databricks.

  • Troubleshoot and resolve Databricks pipeline errors and performance issues.

  • Troubleshoot and resolve SSIS package errors and performance issues.

  • Optimize data flow performance and minimize data latency.

  • Implement data quality checks and validations within ETL processes.

  • Maintain legacy SSIS packages for ETL processes.

Databricks Development

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

  • Drive the design and implementation of batch and streaming data lake architectures supporting both analytics and AI/ML workloads.

  • Optimize Databricks jobs for performance and cost-effectiveness.

  • Integrate Databricks with other data sources and systems.

  • Migrate legacy systems (e.g. SSIS packages, SQL Server procs) to Databricks pipelines.

Data Warehousing

  • Participate in the design and implementation of data warehousing.

  • Support data quality initiatives and implement data cleansing procedures.

Reporting and Analytics

  • Collaborate with business users to understand data requirements for department driven reporting needs.

  • Maintain existing library of complex SSRS reports, dashboards, and visualizations.

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

Collaboration and Communication

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

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

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

  • Document all development work and procedures thoroughly.

Continuous Growth

  • Keep abreast of the latest advancements in data integration, reporting, data engineering.

  • Actively contribute to company's AI-assisted tooling, strategies, and best practices.

  • Continuously improve skills and knowledge through training and self-learning.

Requirements

  • Bachelor's Degree in Computer Science, Information Systems, or a related field.

  • 7+ years of experience in data integration and reporting.

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

  • Experience with data warehousing concepts and best practices.

  • Strong proficiency with AI-assisted development tools.

  • Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions.

  • Experience with SSIS (SQL Server Integration Services) development and maintenance.

  • Experience with SSRS (SQL Server Reporting Services) report design and development.

  • Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable.

  • Strong analytical and problem-solving skills.

  • Excellent communication and interpersonal skills.

  • Ability to work independently and as part of a team.

  • Experience with Agile methodologies.

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.


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