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

Ontech Talent

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Data & Integration Manager

Brookfield, WI · On-site

$150K - $175K/yr

Change Management & Learning Agility Experience & Qualifications: * 8+ years of progressive experience in data engineering, integration, analytics, application development, business intelligence, or ...

Pwc

AI Engineer

Milwaukee, WI · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Data, ML & Software Engineering * Build and maintain the data pipelines that feed AI systems-ingestion, transformation, and ETL across structured and unstructured sources (e.g., Snowflake, Azure)

LHH US

Analytics Engineer

Brookfield, WI

$100K - $120K/yr

Analytics Engineer Hybrid Overview Seeking a versatile Analytics Engineer to bridge the gap between ... This role will support the full data lifecycle, from ingesting and transforming data to developing ...

LHH US

Analytics Engineer

Brookfield, WI

$100K - $120K/yr

Analytics Engineer Hybrid Overview Seeking a versatile Analytics Engineer to bridge the gap between ... This role will support the full data lifecycle, from ingesting and transforming data to developing ...

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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

Data Platform Engineer II

Russell Investments

Milwaukee, WI • On-site

$105K - $130K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday

Job description

Salary Range:$105,000 USD - $130,000 USD

Specific compensation will be based on candidate's experience, skills, qualifications,commercial considerations, and other job-related factors permitted by law. At RussellInvestments, salary is just one part of our compensation package. Our total rewardsapproach includes an annual performance bonus (subject to eligibility criteria) in addition toparticipation in our competitive benefits programs including healthcare, retirement, vacation,and wellbeing programs.


Job Description:

This role requires working on-site four days per week at our New York, Seattle, or Milwaukee office.

As a Data Platform Engineer,you will lead the design, development, and optimization of scalable data platforms that support enterprise-level warehousing,analyticsand reporting. Leveraging your deepexpertisein ETL technologies, Azure cloud services, and Snowflake, you will architect robust data pipelines, ensure data quality, and enable seamless data integration across systems. You will collaborate closely with data architects, analysts, and business stakeholders to deliver high-performance, cost-effective data solutions that align with organizational goals. Your role will also involve mentoring junior engineers,promotingbest practices, and driving continuous improvement in data engineering standards and platform reliability.

Your Core Responsibilities:

  • Design, develop, andmaintainend-to-end distributed data pipelines to support analytics, reporting, and operational workflows.

  • Build scalable, modular, and efficient data transformationtooptimizeenterprise level data ingestion, transformation, and loading processes using modern ETL frameworks and cloud-native tools.

  • Architect and administer Snowflake data warehouses, including performance tuning, resource management, and security configurations.

  • Design and develop scalable BI solutions using Power BI or other reporting tools (Tableau, Cognos), including data modelling, transformation, visualization, and performance optimization to deliver actionable insights.

  • Develop and enforce data quality, data governance, and metadata management practices.

  • Partner with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.

  • Maintain strong documentation and adhere to SDLC and DevOps best practices.

Your Expertise

  • 3+years ofData Engineeringexperiencerequired

  • Priorexperience of working in Finance domain

  • Bachelor's degree in computer science, Mathematics, Statistics, or related engineering fieldrequired. Advanced degree preferred.

  • Hands-on experience with Snowflake,dbt,FiveTran/CensusandotherETL tools

  • Expertisein SQL,Pythonor other scripting languages

  • Workingknowledgeinvestment data vendors suchBloomberg,MSCI,Compustat,Worldscope, I/B/E/S, FTSE/Russell,IDCand other similar datasets

  • Understandingof Investment Managementdata domainsincluding Security Masters, Reference data,Indexes, Positions (IBOR, ABOR, trades), Performance and Analytics across different asset classes

  • Strong analytical mindset and attention to detail

  • Comfort working in cross-functional settings with business and tech teams

  • Experience withC#, .NET, ASP.NET Core (MVC + Web API), Entity Framework, SQL Server, JavaScript, Service-Oriented Architecture, Web APIs, Frontend frameworksa plus

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Equal Employment Opportunity

Russell Investmentsis committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status , or any other characteristic protected by law.

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