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

Jobtailor

Senior Data Engineer

Menomonee Falls, WI · On-site

$150 - $200/hr

Collaborate with stakeholders, data scientists, and full-stack engineers to deliver trusted, documented, reusable data products * Perform additional assigned tasks Requirements * 4+ years of ...

New

MLG Capital

Analytics Engineer

Brookfield, WI

Role Overview This role is designed as a modern hybrid data position that sits between traditional analytics, BI development, and engineering. Rather than hiring a narrowly scoped reporting analyst ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Baird

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

Robert W Baird & Co

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

As Baird continues to invest in data as a strategic asset, we are adding a Data & Analytics Engineer to our growing IT Data Team. In this role, you'll play a meaningful part in shaping how financial ...

CYNET SYSTEMS

Zero Trust Data Engineer JR

Milwaukee, WI · On-site

$66/hr

Responsibilities include onboarding and maintaining integrations with platforms such as Axonius, analyzing and correlating asset and exposure data using SQL and Power BI, supporting continuous ...

US Bank

Infrastructure Data Analytics Engineer

Brookfield, WI · On-site

$108K - $130K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

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Showing results 21-40

All JobsData Engineer 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 Sep 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 is a weekend data engineer?

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 are the key skills and qualifications needed to thrive as a weekend data engineer?

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?

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 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:

What cities near Racine, WI are hiring for Weekend Data Engineer jobs?

Cities near Racine, WI with the most Weekend Data Engineer job openings:

Weekend Data Engineer jobs near you

Senior Data Engineer

Menomonee Falls, WI • On-site

Jobtailor
See more jobs at Jobtailorexternal

$150 - $200/hr

Other

Posted 2 days ago

New

Job description

  • Lead development of robust, observable, and measurable applications using XP practices and a user-centric approach
  • Participate in the full application lifecycle with designers, product managers, and engineers
  • Use critical thinking, experimentation, data, and industry best practices to achieve business outcomes
  • Facilitate group discussions and team ceremonies
  • Establish and lead product engineering and software standards
  • Ideate products from user problem spaces through ranked, testable solutions
  • Research current technology trends and practices
  • Lead technical initiatives across the team and department
  • Develop, automate, and maintain batch and streaming ETL pipelines
  • Build and manage cloud-based data ecosystems on GCP
  • Design and optimize data models for data lakes and warehouses
  • Implement real-time ingestion and streaming data processing
  • Optimize data performance, scalability, and cost efficiency across GCP
  • Ensure PCI and PII data compliance
  • Integrate GenAI tools for data quality and analytics enhancement
  • Collaborate with stakeholders, data scientists, and full-stack engineers to deliver trusted, documented, reusable data products
  • Perform additional assigned tasks
Requirements
  • 4+ years of experience in software development
  • Understanding of application design patterns, event-driven architecture, databases, schemas, and testing strategies
  • In-depth knowledge and experience with continuous integration, continuous deployment, and test-driven development
  • Bachelor's Degree or equivalent in MIS, Computer Science, or a related field (preferred)
  • Experience with large-scale application troubleshooting and performance tuning (preferred)Exposure to major cloud platforms: GCP, AWS, or Azure (preferred)
  • Familiarity and experience with XP (Extreme Programming) (preferred)
  • Experience with Apache Airflow, Apache Spark, Python, and Scala for ETL pipelines
  • Experience with GCP services including BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage, IAM, and VPC
  • Experience designing SQL and NoSQL data models using BigQuery, MongoDB, and Snowflake
  • Experience writing complex SQL queries for data transformation, aggregation, and analytics optimization
  • Experience applying TDD to Airflow workflows, Spark jobs, and transformation logic
  • Knowledge of data mesh and data-as-a-product principles
  • Experience with Kafka Connect and streaming technologies such as Spark Streaming or Apache Flink
  • Knowledge of GCP data performance, scalability, and cost optimization
  • Knowledge of PCI, PII, GDPR, PCI DSS, SOX, and CCPA compliance
  • Experience integrating GenAI tools such as OpenAI, Gemini, and Anthropic LLMs
  • Ability to collaborate with stakeholders, data scientists, and full-stack engineers
Core Competencies

Demonstrates expertise in developing and optimizing cloud-based data ecosystems on GCP, utilizing ETL pipelines and real-time data processing. Proficient in applying XP practices, data compliance standards, and collaboration with cross-functional teams to deliver high-quality data products.

Highest-signal resume keywords
  • GCP Cloud Services
  • ETL Pipeline Development
  • Data Compliance (PCI, PII, GDPR)
  • Apache Airflow and Spark
  • Test-Driven Development (TDD)
ATS Optimization Keywords Hard Skills
  • Software Development
  • Data Modeling (SQL, NoSQL)
  • Continuous Integration and Deployment
  • Event-Driven Architecture
  • Performance Tuning
  • Apache Kafka
  • Data Mesh Principles
  • GenAI Tool Integration
  • Streaming Data Processing
  • Complex SQL Query Writing
Soft Skills
  • Critical Thinking
  • Collaboration
  • Facilitation
  • User-Centric Approach
  • Experimentation
Certifications & Qualifications
  • Bachelor's Degree in MIS, Computer Science, or Related Field
Industry Keywords
  • Data Lakes
  • Data Warehouses
  • Data Quality
  • Data Performance Optimization
  • Cloud Platforms (AWS, Azure)
Tools & Technologies
  • GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud Storage)
  • Apache Spark
  • Apache Airflow
  • Python
  • Scala
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