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Weekend Data Jobs in Wisconsin (NOW HIRING)

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Green Bay, WI · On-site

$111K - $133K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

The Data Analyst II role involves gathering, analyzing, and interpreting data to provide insights for decision-making, while collaborating with stakeholders to develop data-driven solutions.

Weekend Support

Rice Lake, WI · On-site

$15.75 - $21.25/hr

Data Entry: * Performs data entry in systems as directed Weekend Support Team at Rice Lake Weighing Systems * Safety: Our corporate office is also our main manufacturing facility. You will find ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the ...

New

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

The Data Analyst III will work independently with various groups, leaders and enterprise performance management teams across the enterprise. The Analyst will carry out data analysis, assist in ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

The Data Analyst III will work independently with various groups, leaders and enterprise performance management teams across the enterprise. The Analyst will carry out data analysis, assist in ...

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

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Showing results 1-20

Weekend Data information

See Wisconsin salary details

$8

$17

$42

How much do weekend data jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for weekend data in Wisconsin is $17.67, according to ZipRecruiter salary data. Most workers in this role earn between $12.29 and $17.78 per hour, depending on experience, location, and employer.

What are the main responsibilities and challenges of working as a Weekend Data Analyst?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

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

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What are Weekend Data jobs?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.
What are the most commonly searched types of Data jobs in Wisconsin? The most popular types of Data jobs in Wisconsin are:
What cities in Wisconsin are hiring for Weekend Data jobs? Cities in Wisconsin with the most Weekend Data job openings:
Infographic showing various Weekend Data 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, with an average salary of $36,748 per year, or $17.7 per hour.

Data Engineer

Bespoke Labs

Milwaukee, WI • On-site

$112K - $135K/yr

Full-time

Posted 26 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines