ZipRecruiter

Log In

1

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

Merz North America

IT/OT Data Engineer

Racine, WI · On-site

$107.40K - $128.90K/yr

A Brief Overview As the organization's initial data engineering hire, this position will develop and support reliable OT to MES/UNS pipelines, integrate enterprise applications (ERP, QMS, complaints ...

Merz North America

IT/OT Data Engineer

Racine, WI · On-site

$107.40K - $128.90K/yr

A Brief Overview As the organization's initial data engineering hire, this position will develop and support reliable OT to MES/UNS pipelines, integrate enterprise applications (ERP, QMS, complaints ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

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 ...

Indeed

Data Engineer II

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Passionate about data and learning new technologies * Demonstrated experience in software engineering fundamentals and coding Salary Range Transparency Tier 1 - United States of America 99,000 - 149 ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Participate in the entire application lifecycle in collaboration with designers, product managers, and other engineers on the product team * Leverage critical thinking, experimentation, data, and ...

Kohl's

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Senior Big Data Software Engineer As Senior Software Engineer, you will collaborate closely with design, product and engineering experts to tackle real-world challenges and deliver innovative ...

Pwc

Data Strategy-Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Ampcus

Data Quality Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Data Quality Engineer. Location: Milwaukee, WI. Key Responsibilities: * Data Profiling & Assessment: Analyzing data sources to understand structure, content, and quality; identifying anomalies ...

Ampcus

Data Quality Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Data Quality Engineer. Location: Milwaukee, WI. Key Responsibilities: * Data Profiling & Assessment: Analyzing data sources to understand structure, content, and quality; identifying anomalies ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Data Platform Engineer Milwaukee, WI Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This team is responsible for the infrastructure, services, security ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · Hybrid

$112.80K - $135.50K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This team is responsible for the infrastructure, services, security controls, and engineering and ...

Artisan Partners

Data Platform Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This team is responsible for the infrastructure, services, security controls, and engineering and ...

next page

Showing results 1-20

People also search for

All JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Racine, WI

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 May 28, 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 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 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 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 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:
Weekend Data Engineer jobs near you
IT/OT Data Engineer

IT/OT Data Engineer

Merz North America

Racine, WI • On-site

$107.40K - $128.90K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Us
Founded in 1908, Merz is a successful, family-owned specialty healthcare company with a rich history. As a leading global aesthetics business, our award-winning portfolio of injectables, devices, and skincare products empowers healthcare professionals to enhance confidence through aesthetic medicine. Our purpose is to fuel confidence by helping people look better, feel better, and live better. We believe you do not have to choose between living life and making a living. Live your best life with Merz Aesthetics.
A Brief Overview
As the organization's initial data engineering hire, this position will develop and support reliable OT to MES/UNS pipelines, integrate enterprise applications (ERP, QMS, complaints) through REST/SOAP APIs, and help establish repeatable integration practices for the data platform. Furthermore, they will collaborate with the first data scientist to build and maintain the organization's digital backbone.
What You Will Do
  • Pipeline Engineering (Batch & Streaming) Design, implement, and operate reliable batch and streaming pipelines from OT and enterprise systems to the UNS and analytics platforms, implement event/streaming ingestion (e.g., MQTT, Kafka/Azure Event Hubs) and high-throughput batch workflows, and ensuring performance, scalability, and maintainability.
  • Systems Integration Connect laboratory and shop-floor equipment to MES, ELN, LIMS and/or the UNS (e.g., OPC UA servers, Kepware, Ignition, industrial gateways), and integrate enterprise applications via REST/SOAP APIs, file drops/EDI, and CDC/connectors (e.g., ERP, QMS, CRM, complaints), with appropriate data contracts and versioning.
  • Platform, CI/CD, and Reliability Build Infrastructure-as-Code (IaC) environments and implement CI/CD for data pipelines, including automated unit, integration, and data quality testing, and establish observability (logging, metrics, tracing), define SLAs/SLOs/SLIs, and author runbooks to support on-call operations and continuous improvement.
  • Security, Compliance, and Validation Enforce least-privilege access, OT/IT network segmentation (including DMZ patterns), and secure secrets management and collaborate on CSV/GAMP 5 deliverables and ensure audit trails and change controls aligned to 21 CFR Part 11.
  • Collaboration and Standards Partner with data science and cross-functional stakeholders to define and maintain data contracts, schemas, and naming conventions and develop reusable connectors, templates, and documentation to accelerate future integrations and promote consistency.
Minimum Requirements
  • Bachelor's Degree Data Engineering or Computer Science
  • 3-5 years of data engineering and/or systems integration, with strong exposure to industrial/OT data or high-throughput production systems
  • 3-5 years of hands-on experience with OPC UA, AMQP and SCADA gateways.
  • 3-5 years working with REST/SOAP APIs, schema evolution, and CDC patterns.
  • 2+ years working in GxP environments with awareness of CSV expectations.
Preferred Qualifications
  • Experience integrating MES, ERP, QMS, lab equipment and SCADA.
  • Experience working with Ignition, Litmus, and Fuuz.
  • Experience working with prompt engineering large language models.
Technical & Functional Skills
  • Build/operate batch & streaming pipelines; performance tuning, backpressure handling, and idempotency.
  • Tooling familiarity (e.g., Spark/Databricks/Synapse, Event Hubs/Kafka/IoT Hub or equivalent).
  • Protocol familiarity (i.e. OPC UA, MQTT, AMQP, REST/SOAP, file/EDI).
  • API design/consumption: pagination, throttling, OAuth/SAML/SAS, bulk loads, file drops with integrity checks.
  • Translating ambiguous business needs into clear data contracts, SLAs, and acceptance criteria.
  • Strong Python and SQL; Git-based workflows; CI/CD (e.g., GitHub Actions, Azure DevOps).
  • Proficiency with streaming and batch paradigms (e.g., Kafka/Event Hubs/IoT Hub, or equivalents).
  • Good knowledge about organization standards, processes and customers, capability to expand this knowledge
  • Ability to work with moderate guidance
  • Ability to resolve problems by applying prescribed guidelines and policies
  • Ability to explain complex information effectively & and support others in straight forward tasks
  • Good MS Office package skills & familiarity with the most common AV technology
Benefits:
  • Comprehensive Medical, Dental, and Vision plans
  • 20 days of Paid Time Off
  • 15 paid holidays
  • Paid Sick Leave
  • Paid Parental Leave
  • 401(k)
  • Employee bonuses
  • And more!

Your benefits and PTO start the date you're hired with no waiting period!
Work Authorization & Visa Sponsorship: Merz will not sponsor applicants for U.S. work visa status for this opportunity. No sponsorship is available for any employment-based visas, including but not limited to H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa category.
Relocation: this position is not eligible for relocations assistance. Candidates must reside in or relocate to the area at their own expense.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Apply