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Manager Sql Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Engineer

Seymour, WI · On-site

$116K - $140K/yr

Data Engineer Experience 2-5 years Job Type Full-time Job Summary We are looking for a skilled Data ... Develop complex SQL queries, stored procedures, and data transformations. * Work with data ...

WI · On-site

$120 - $180/hr

Engineer solutions using PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools ... Preferred: experience with data management, governance, security, master data management, and ...

Data Engineer

Watertown, WI

$109K - $131K/yr

Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing ... We set the standard for farm management solutions and fix our eyes on raising the bar to meet the ...

Data Engineer

Appleton, WI · On-site

$111K - $134K/yr

... management of Crescent's data pipelines, enabling reliable analytics and downstream business ... Provide indirect leadership, coaching, and code-review guidance to the SQL Developers on the data ...

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

... management of Crescent's data pipelines, enabling reliable analytics and downstream business ... Provide indirect leadership, coaching, and code-review guidance to the SQL Developers on the data ...

Data Engineer

Appleton, WI · On-site

$110 - $150/hr

From the governance and management of data through to analytics and automation, our integrated ... The ideal candidate brings a strong foundation in SQL, Python, and modern data warehousing with a ...

New

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Cloud Storage * Strong SQL development and data modeling experience. * Experience building ... Strong communication and stakeholder management skills. * Ability to work independently and lead ...

New

WI · On-site

$90 - $120/hr

This is a hands-on, execution-focused data engineering role , where you will work primarily on SQL transformations, data pipelines, and platform optimisation. You will contribute to building robust ...

Lead Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Cloud Storage * Strong SQL development and data modeling experience. * Experience building ... Strong communication and stakeholder management skills. * Ability to work independently and lead ...

New

WI · On-site

$109.40 - $145.80/hr

Architect and manage high‑throughput event streaming solutions utilizing Apache Kafka and Amazon ... Experience with ETL processes, SQL development, and data transformation workflows. * Experience ...

WI · On-site

$110 - $204/hr

AI, SQL, Power BI, Tableau, Python, Excel, and PowerPoint. A critical component of this position ... Flex My Way is a set of supportive workplace policies designed to help manage personal and ...

New

WI · On-site

$80 - $100/hr

Beschikt over een stevige kennis van SQL en Python * Bekend bent met de principes van distributed ... Aanbod Als Data Engineer bij Axxes geniet je niet enkel van een gevarieerde en uitdagende rol, maar ...

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

... management, retry, alerting, backfill, and failure-recovery practices. * Implement observability ... Hands-on Snowflake experience, including advanced SQL, data loading and transformation, virtual ...

Senior Data Engineer

Milwaukee, WI · On-site

$104K - $141K/yr

... management, retry, alerting, backfill, and failure-recovery practices. * Implement observability ... Hands-on Snowflake experience, including advanced SQL, data loading and transformation, virtual ...

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Showing results 1-20

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.

Data Engineer

Vultus Inc

Seymour, WI • On-site

$116K - $140K/yr

Full-time

Posted 14 days ago


Job description

Data Engineer

Experience

2–5 years

Job Type

Full-time

Job Summary

We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong experience in SQL, Python, ETL/ELT processes, cloud data platforms, and data warehousing.

Key Responsibilities
  • Design, develop, and maintain reliable data pipelines for batch and real-time data processing.
  • Build and optimize ETL/ELT workflows from multiple data sources.
  • Develop complex SQL queries, stored procedures, and data transformations.
  • Work with data warehouses, data lakes, and cloud-based data platforms.
  • Perform data cleansing, transformation, validation, and integration.
  • Monitor data pipelines and troubleshoot failures, performance issues, and data-quality problems.
  • Optimize data processing jobs and database queries for performance and scalability.
  • Implement data-quality checks and ensure data accuracy and consistency.
  • Collaborate with Data Scientists, BI Developers, Analysts, and Software Engineers.
  • Participate in data architecture and pipeline design discussions.
  • Maintain technical documentation for data pipelines, workflows, and data models.
  • Follow security, governance, and best practices for handling enterprise data.
Required Skills
  • Strong proficiency in SQL.
  • Strong programming experience in Python.
  • Hands-on experience with ETL/ELT pipelines.
  • Experience with data warehousing concepts and dimensional data modeling.
  • Experience with databases such as SQL Server, PostgreSQL, MySQL, or similar.
  • Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP.
  • Understanding of data lakes and distributed data processing.
  • Experience with version control systems such as Git.
  • Strong understanding of data quality, data validation, and error handling.
Preferred Skills
  • Experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, or Databricks.
  • Experience with Apache Spark/PySpark.
  • Knowledge of Power BI and BI data models.
  • Experience with streaming technologies such as Kafka.
  • Knowledge of CI/CD and DevOps practices.
  • Experience working with REST APIs and integrating data from external systems.
  • Familiarity with data governance, security, and compliance.
Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Soft Skills
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Strong attention to detail.
  • Ability to troubleshoot complex data issues.
Key Qualifications
  • 2–5 years of hands-on experience in Data Engineering.
  • Strong SQL and Python expertise.
  • Practical experience developing and supporting production data pipelines.
  • Good understanding of cloud data engineering and modern data architecture.