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Weekend Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

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 ...

Data Engineer

Stevens Point, WI · On-site

$111K - $133K/yr

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data infrastructure and pipelines that enable Delta Dental of Wisconsin to collect, process, and access high ...

Data Engineer I Job Summary: About Us: The Institute on Aging is a research unit whose mission is to promote the health and well-being of the adult and aging populations through excellence in ...

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... engineers DATA INTEGRATION • Assist with integrations from various data sources into the data ... and weekends) office hours to meet established deadlines • Able to travel independently to ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... in computer science, data engineering, information systems, or related field or equivalent ... and weekends) office hours to meet established deadlines • Able to travel independently to ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Data Engineer (MedInsight)

Appleton, WI · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions that power healthcare insights at scale. This role is ideal for someone with experience in ...

Data Engineer (MedInsight)

Brookfield, WI · On-site +1

$93K - $177K/yr

We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions that power healthcare insights at scale. This role is ideal for someone with experience in ...

Data Engineer

Milwaukee, WI · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

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Weekend Data Engineer information

What are Weekend Data Engineers?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a Weekend Data Engineer position?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What are the key skills and qualifications needed to thrive as a Weekend Data Engineer, and why are they important?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
What are the most commonly searched types of Data Engineer jobs in Wisconsin? The most popular types of Data Engineer jobs in Wisconsin are:
What are popular job titles related to Weekend Data Engineer jobs in Wisconsin? For Weekend Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Wisconsin look for? The top searched job categories for Weekend Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Weekend Data Engineer jobs? Cities in Wisconsin with the most Weekend Data Engineer job openings:
Data Engineer

Data Engineer

CTech Manufacturing

Schofield, WI • On-site

$114K - $137K/yr

Full-time

Retirement

Posted 26 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.