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Weekend Data Engineer Jobs in Racine, WI (NOW HIRING)

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science ...

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most efficient and stable ways to extract client data, Ensure correct integration ...

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139K/yr

Are you Strong experience in Data engineering / Data platforms & integrations? Do you have the ability to Identify most efficient and stable ways to extract client data, Ensure correct integration ...

Partner with technical resources (e.g., developers, data engineers) to communicate business and application requirements clearly and effectively. * Translate business needs into data requirements ...

Partner with technical resources (e.g., developers, data engineers) to communicate business and application requirements clearly and effectively. * Translate business needs into data requirements ...

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering ...

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering ...

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Weekend Data Engineer information

See Racine, WI salary details

$41.7K

$121.6K

$166.4K

How much do weekend data engineer jobs pay per year?

As of Jul 8, 2026, the average yearly pay for weekend data engineer in Racine, WI is $121,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $128,900.00 per year, depending on experience, location, and employer.

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 Racine, WI? The most popular types of Data Engineer jobs in Racine, WI are:
What are popular job titles related to Weekend Data Engineer jobs in Racine, WI? For Weekend Data Engineer jobs in Racine, WI, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Racine, WI look for? The top searched job categories for Weekend Data Engineer jobs in Racine, WI are:
What cities near Racine, WI are hiring for Weekend Data Engineer jobs? Cities near Racine, WI with the most Weekend Data Engineer job openings:
Data Science Engineer

Data Science Engineer

Foley & Lardner LLP

Milwaukee, WI • On-site

$77K - $108K/yr

Full-time

Re-posted 16 days ago


Job description

Overview

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It's a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too. 

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science (including Data Mining, AI, Machine Learning) related Technology initiatives for the firm, from proposal and requirements definition to project planning and implementation, working with both the requesting party and Technology team using a variety of tools. This position requires comprehensive knowledge of formal project skills and will provide a proactive interface between internal clients and the Technology team to ensure effective definition of a delivery of data science initiatives. 

Responsibilities
  • Leads and drives the execution of data science projects including predictive modeling, natural language processing.
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Uses data mining or extracting tools to find usable data from valuable data sources.
  • Makes use of machine learning tools to select features, create and optimize data classifiers.
  • Performs preprocessing of structured and unstructured data.
  • Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). 
  • Collaborates with firm leadership to identify strategic goals related to data utilization and implement data strategy components in collaboration with Business Intelligence.
  • Collaborates with Knowledge Management, Business Intelligence and Competitive Intelligence to identify strategic goals related to legal team data utilization. 
  • Helps to develop strategies for best practices on data science projects.
  • Sets and manages project milestones and dates.
  • Performs other related duties as assigned.
  • Provides guidance and best practice advice to data science interns. 
Qualifications
  • Bachelor's Degree required; Master's degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
  • Minimum of one (1) year of relevant technology experience required
  • Working knowledge of software development and scripting languages such as Python, C#, JavaScript, HTML
  • Ability to program un-assisted by LLMs if needed
  • Proficient with prompting and working with LLMs
  • Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn, PyTorch, MLflow, matplotlib, and numpy
  • Knowledge of developing applied AI applications with packages such as langchain or through custom LLM app pipelines
  • Basic understanding of developing within or integrating with cloud environments such as Azure or AWS
  • Office 365 application proficiency (Outlook, Word, Excel, PowerPoint and Teams) 
  • Experience with data analysis and reporting
  • Experience with Dev Ops
  • Knowledge of SQL and data mining tools 
  • Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication 
  • Must be able to work independently and in a team environment to prioritize and perform multiple duties simultaneously while maintaining superior attention to detail, accuracy, and organization 

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.-Milwaukee - $77,500 to $108,500

Employment Type: FULL_TIME