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Manager Sql Data Engineer Jobs in Wisconsin (NOW HIRING)

Senior Data Engineer

Watertown, WI ยท On-site

$101K - $137K/yr

Troubleshoot and resolve SSIS package errors and performance issues. * Optimize data flow ... management information to take producers to the frontline of progressive dairy farming, and an ...

Senior Data Engineer

Watertown, WI ยท On-site

$101K - $137K/yr

Troubleshoot and resolve SSIS package errors and performance issues. * Optimize data flow ... management information to take producers to the frontline of progressive dairy farming, and an ...

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

Troubleshoot and resolve SSIS package errors and performance issues. * Optimize data flow ... management information to take producers to the frontline of progressive dairy farming, and an ...

Data Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT. * 7+ years ...

WI ยท On-site

$110 - $160/hr

Collaborate effectively across disciplines, including with technical project managers, software ... Strong SQL skills and programming and software experience in a production setting (Python / Go ...

Data Engineer

Delafield, WI ยท On-site +1

$109K - $131K/yr

Description THE POSITION Under the direction of the Manager, Data & Analytics, this role will be ... Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid ...

New

Sr Data Engineer

Menomonee Falls, WI ยท On-site

$114K - $138K/yr

Strong proficiency in SQL and at least one programming language such as Python, C#, Java, or Scala. * Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational ...

Data Engineer

Delafield, WI ยท On-site

$109K - $131K/yr

THE POSITION Under the direction of the Manager, Data & Analytics, this role will be the Data ... Strong proficiency in SQL and some programming knowledge, preferably .NET and Python. Solid ...

New

GCP Data Engineer

Appleton, WI ยท On-site

$75 - $80/hr

GCP Data Engineer - (Subcontract at an NRI) Through NRI Resource Management Services (RMS), we ... SQL o Python o Strong background in relational database platforms o DevOps/Continuous integration ...

Senior Data Engineer

Pleasant Prairie, WI ยท On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Proven experience writing complex T-SQL and DB performance tuning. * Strong troubleshooting skills ...

Senior Data Engineer

Kenosha, WI ยท On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Proven experience writing complex T-SQL and DB performance tuning. * Strong troubleshooting skills ...

WI ยท On-site

$96 - $128/hr

Our everyday toolkit includes SQL and Python as core languages, together with Snowflake, dbt ... As a Data Engineer , your job is to help us build data as a product, not just pipelines that move ...

WI ยท On-site

$140 - $190/hr

This role manages Senior Data Engineer resources, establishes data engineering standards, oversees ... Proficiency with SQL and Python, including data pipeline testing, observability, monitoring, and ...

Senior Data Engineer

Germantown, WI ยท On-site

$107K - $146K/yr

... SQL and strong proficiency in Python (or similar language)Experience with data warehousing and data modeling techniquesProven experience building production-grade data pipelinesStrong understanding ...

Sr. Data Engineer

Pewaukee, WI ยท On-site

$128 - $150/hr

... SSIS, SSRS, and SSAS. * Experience using Git, Azure DevOps, or similar source control and DevOps platforms. * Experience supporting data governance, data quality, and enterprise data management ...

New

WI ยท On-site

$120 - $160/hr

This role has a special responsibility for the MarTech and CRM domain. You will work at the ... Experience as a Data Engineer, Analytics Engineer, or similar role, with strong SQL skills and ...

Senior Data Engineer

Menomonee Falls, WI ยท On-site

$120 - $180/hr

Build and manage cloud-based data ecosystems on GCP * Design and optimize data models for data ... Experience writing complex SQL queries for data transformation, aggregation, and analytics ...

New

Showing results 41-60

Manager Sql Data Engineer information

What does a Manager SQL Data Engineer do?

A Manager SQL Data Engineer oversees a team responsible for designing, developing, and maintaining SQL databases that store and organize large amounts of data. They manage data engineering projects, ensure best practices in data modeling and ETL processes, and work closely with other departments to understand data needs. In addition to technical responsibilities, they provide leadership, mentor junior engineers, and ensure data security and integrity across the organization. Their role is critical in making sure data systems are efficient, reliable, and scalable.

What are the key skills and qualifications needed to thrive as a Manager SQL Data Engineer?

To thrive as a Manager SQL Data Engineer, you need deep expertise in SQL development, database architecture, data modeling, and leadership experience, usually supported by a degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, Oracle, or MySQL), ETL tools, and certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Strong communication, problem-solving, and team management skills help you effectively lead data engineering teams and collaborate cross-functionally. These skills ensure robust data solutions, efficient team performance, and alignment of data systems with business objectives.

How does a Manager SQL Data Engineer typically collaborate with cross-functional teams within an organization?

A Manager SQL Data Engineer frequently works alongside data analysts, software engineers, business intelligence teams, and key business stakeholders to ensure data solutions align with organizational goals. This collaboration often involves gathering requirements, translating business needs into technical specifications, and overseeing the development and deployment of data pipelines and databases. The manager also facilitates communication between technical and non-technical team members, ensuring that data strategies are clearly understood and effectively implemented across departments.

What are the most commonly searched types of Sql Data Engineer jobs in Wisconsin?

The most popular types of Sql Data Engineer jobs in Wisconsin are:

What are popular job titles related to Manager Sql Data Engineer jobs in Wisconsin?

For Manager Sql Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Manager Sql Data Engineer jobs in Wisconsin look for?

The top searched job categories for Manager Sql Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Manager Sql Data Engineer jobs?

Cities in Wisconsin with the most Manager Sql Data Engineer job openings:

Infographic showing various Manager Sql Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Data Engineer

Urus

Watertown, WI โ€ข On-site

$101K - $137K/yr

Full-time

Posted 12 days ago


Key responsibilities

  • Design, develop, and maintain data integration pipelines and processes on Databricks, including troubleshooting and optimizing performance.

  • Develop and maintain Databricks pipelines and datasets using Python, Spark, and SQL, supporting analytics and AI/ML workloads.

  • Collaborate with business users to understand data requirements and maintain reporting tools such as SSRS reports and dashboards.


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.ย  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.