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Weekend Data Engineer Jobs in Lisle, IL (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer

Chicago, IL

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning experts. The hire will be responsible for building tooling to support analytics, helping to extend our ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning experts. The hire will be responsible for building tooling to support analytics, helping to extend our ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning experts. The hire will be responsible for building tooling to support analytics, helping to extend our ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

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Showing results 1-20

Weekend Data Engineer information

See Lisle, IL salary details

$43.9K

$127.9K

$175K

How much do weekend data engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for weekend data engineer in Lisle, IL is $127,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $135,600.00 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 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?

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?

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

$118K - $141K/yr

Full-time

Posted 13 days ago


Job description

Position: Data Engineer
Location: Chicago, IL (3 days office)
Employment: Contract
Job Description:
Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices.
Responsibilities: -
  • Perform Develop and manage ETL processes using Python, PySpark, and SQL.
  • Work with Databricks for data processing.
  • Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda.
  • Familiarity with Terraform for infrastructure management.
  • Work with Angular for front-end integration.
  • Collaborate on version control using Git and deployment using Octopus and Azure DevOps.
  • Support CI/CD processes using Git, Octopus, and Azure DevOps.
  • Work within cloud-based data engineering environments and data processing frameworks.

Mandatory skills
  • Strong ETL
  • Python
  • SQL
  • PySpark
  • Angular for front-end development
  • Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
  • Terraform knowledge
  • Experience with Git, Octopus, and Azure DevOps for CI/CD