ZipRecruiter

Log In

1

Manager Sql Data Engineer Jobs in Wisconsin (NOW HIRING)

CTech Manufacturing

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

... SQL queries, stored procedures, and database objects Create and maintain business reports ... Ability to manage multiple tasks and prioritize effectively in a collaborative environment ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Data Engineer is responsible for the comprehensive data and reporting infrastructure at ... managing and working with common databases (SQL Server, Oracle, MySql, etc.) Previous workplace ...

Pwc

Data Engineer - Manager

Milwaukee, WI

... Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging ... SQL DB, GCP Cloud Storage etc. - Implementing data integration solutions using AWS Glue, AWS Lambda ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Experience with SQL and relational databases * Familiarity with at least one programming language (Python preferred) * Basic understanding of data warehousing concepts * Experience with Git or ...

AgSource

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Advocate for best practices in managing sensitive biological and genetic data, including data ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Advocate for best practices in managing sensitive biological and genetic data, including data ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Advocate for best practices in managing sensitive biological and genetic data, including data ...

Farm Systems

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Advocate for best practices in managing sensitive biological and genetic data, including data ...

Urus Group LP

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Advocate for best practices in managing sensitive biological and genetic data, including data ...

Urus

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Advocate for best practices in managing sensitive biological and genetic data, including data ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

Strong with SQL and other programming languages. (Python preferred) * Experience with version ... management within a multi-tier code repository. * Experience in designing and implementing ...

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Knowledge of SSIS, Python, Azure, Snowflake or Databricks is a plus. * Uline does not participate ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

Strong with SQL and other programming languages. (Python preferred). * Experience with version ... management within a multi-tier code repository. * Experience in designing and implementing ...

ULINE

Senior Data Engineer

Pleasant Prairie, WI · On-site

$96K - $148K/yr

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Knowledge of SSIS, Python, Azure, Snowflake or Databricks is a plus. * Uline does not participate ...

Core BTS

GCP Data Engineer

Appleton, WI

$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 ...

Deloitte

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... Write and tune PySpark / Spark SQL notebooks for large-scale data transformation * Architect end-to ...

next page

Showing results 1-20

All JobsSql Data Engineer JobsManager Sql Data Engineer JobsManager Sql Data Engineer Jobs in Wisconsin

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.

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 key skills and qualifications needed to thrive as a Manager SQL Data Engineer, and why are they important?

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.
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:
Manager Sql Data Engineer jobs near you
Infographic showing various Manager Sql Data Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

CTech Manufacturing

Schofield, WI • On-site

$114K - $137K/yr

Full-time

Retirement

Re-posted 8 days ago

Job description

Description:

We’re seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional looking to build hands-on experience designing modern data solutions that directly impact business operations and decision making. In this role you will work closely with cross functional teams to help transition and modernize our existing ETL pipelines into scalable ELT processes, develop reporting and dashboard solutions, and support future AI and analytics initiatives.


Responsibilities:

Design, develop, and maintain ELT pipelines that move and transform data between business systems and databases

Assist in transitioning ETL workflows into scalable, efficient ELT processes

Work with SQL Server, PostgreSQL, and MongoDB databases to support operational and analytical needs

Develop, maintain, and optimize SQL queries, stored procedures, and database objects

Create and maintain business reports, dashboards, and visualizations using Power BI, SSRS, and related reporting tools

Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights

Monitor and troubleshoot data pipelines, integrations, and reporting workflows to ensure reliability and accuracy

Document data processes, workflows, and technical solutions for internal teams

Collaborate with software developers and operational teams to support enterprise data initiatives

Stay current with emerging technologies, tools, and best practices in data engineering and analytics

Requirements:

Associate’s degree or higher in Computer Science, Data Science, Information Systems, or a related field

0-3 years of professional experience in data engineering, business intelligence, analytics, or related technical roles

Strong foundational knowledge of SQL and relational database concepts

Experience working with SQL Server, PostgreSQL, and/or MongoDB

Familiarity with data integration and workflow tools such as Apache Nifi

Experience developing reports and dashboards using Power BI, SSRS, or similar business intelligence platforms

Understanding of ETL/ELT concepts and data transformation workflows

Basic understanding of data modeling, normalization, and database design principles

Strong analytical and problem solving skills with attention to detail

Ability to manage multiple tasks and prioritize effectively in a collaborative environment

Eagerness to learn new technologies and grow within a data engineering career path


If you meet the above requirements and are excited about the opportunity to work with a talented team on challenging projects, we encourage you to apply. We offer a competitive salary, benefits package, 401(k) match, and opportunities for growth and development within the company. We also provide ongoing training and professional development opportunities to help our team members stay current with emerging technologies and best practices in data engineering.