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

Redbeard Solutions

Data Engineer

Chicago, IL

$165K - $175K/yr

Data Engineer Boston, Massachusetts, United States Job Openings Data Engineer Job Title: Data Engineer - AI Platform Location: Boston, Chicago, New York City, San Francisco, Silicon Valley ...

Saxon Global

Data Engineer

Lisle, IL · On-site

$112K - $135K/yr

Support Data Engineering initiatives across two Data Engineering Teams: * Prospect Team * Student Team Contribute to stabilizing and scaling the Data Engineering organization Top 3 Requirements:

Redolent

Data Engineer

Chicago, IL

$118K - $141K/yr

Big Data Engineer We are currently seeking a Big Data Engineer for an onsite position located in Charlotte, NC, Denver, CO, Jacksonville, FL, and Chicago, IL. This is a 12+ month W2 contract ...

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

Comprehensive Resources Inc.

Data Engineer

Chicago, IL

$118K - $141K/yr

Role : Data Engineer Location : Chicago, IL (3days onsite) Experience : Min. 10+ Years Client Interview - in-person in Chicago, IL. Must be strong on Complex sql queries and Databricks Seeking a ...

Collabera Technologies

Data Engineer

Chicago, IL · Hybrid

$60 - $65/hr

Data Engineer Contract: Chicago, Illinois, US Salary Range: 60.00 - 64.00 | Per Hour Job Code: 369312 End Date: 2026-06-18 Days Left: 8 days, 3 hours left Apply Job Title: Senior Data Engineer ...

Diverse Lynx

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer We are looking for a skilled Data Engineer to design and build scalable data solutions using PySpark and AWS services. The ideal candidate will have hands-on experience in building ...

1872 Consulting

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer - I The Data Engineer - I will be responsible for building and maintaining optimal data pipeline and reporting architecture for the next generation Data Warehouse, reporting, and data ...

Dlapiper

Data Engineer

Chicago, IL

$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 ...

Mitchell Martin

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer Join a dynamic team in a hybrid role based in the Chicago area. Focus on designing and maintaining data pipelines using generic data processing platforms. Engage in building and ...

DevSelect

Data Engineer

Chicago, IL · On-site

$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 ...

Request Technology, LLC

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer Salary: Open + Bonus Location: Chicago, IL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications * Bachelor s degree * 3+ years of ...

MJ Holding Company, LLC

Data Engineer

Bridgeview, IL

$116K - $140K/yr

The Data Engineer is a core technical leader within the data team, responsible for the design, architecture, and delivery of scalable, reliable data platforms that power the organization's data ...

MJ Holding Company LLC

Data Engineer

Bridgeview, IL

$116K - $140K/yr

The Data Engineer is a core technical leader within the data team, responsible for the design, architecture, and delivery of scalable, reliable data platforms that power the organization's data ...

MJ Holding Company

Data Engineer

Bridgeview, IL · On-site

$116K - $140K/yr

The Data Engineer is a core technical leader within the data team, responsible for the design, architecture, and delivery of scalable, reliable data platforms that power the organization's data ...

System Soft Technologies

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer Burnham, IL (100% onsite) Contract/Direct Hire We're looking for a Data Engineer who can step into an established environment and quickly take ownership of critical data workflows. This ...

System Soft Technologies

Data Engineer

Burnham, IL · On-site

$118K - $141K/yr

Data Engineer Burnham, IL (100% onsite) Contract/Direct Hire We're looking for a Data Engineer who can step into an established environment and quickly take ownership of critical data workflows. This ...

Georgia IT Inc

Data Engineer

Chicago, IL · Remote

$118K - $141K/yr

Data Engineer - Data Catalog (Alation) Location: Chicago, IL (100% Remote) Duration: 6-12 Months Rate: DOE We are seeking an experienced Data Engineer with expertise in Alation for a 6-12 month ...

SYSTEM SOFT TECHNOLOGIES LLC

Data Engineer

Burnham, IL

$114K - $137K/yr

a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Data Engineer Burnham, IL (100% onsite) Contract/Direct Hire We're ...

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Showing results 1-20

All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Chicago, IL

Weekend Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do weekend data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for weekend data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 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 Chicago, IL? The most popular types of Data Engineer jobs in Chicago, IL are:
What are popular job titles related to Weekend Data Engineer jobs in Chicago, IL? For Weekend Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Chicago, IL look for? The top searched job categories for Weekend Data Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Weekend Data Engineer jobs? Cities near Chicago, IL with the most Weekend Data Engineer job openings:
Weekend Data Engineer jobs near you

Data Engineer

Redbeard Solutions

Chicago, IL

$165K - $175K/yr

Other

Posted 6 days ago

Job description

Data Engineer

Boston, Massachusetts, United States Job Openings Data Engineer

Job Title: Data Engineer - AI Platform

Location: Boston, Chicago, New York City, San Francisco, Silicon Valley, Washington DC

Number of openings: 1

Experience: 5+ years of professional experience as a data engineer

Salary: $165,000 - $175,000

Clearance: Secret (prefer TS)

Position Summary

We are hiring a skilled Data Engineer to contribute to the development of a sophisticated AI-powered platform that supports advanced, data-driven solutions. This role offers the opportunity to work on cutting-edge initiatives involving generative AI, large-scale data systems, and cloud-native architectures.

You will partner with a multidisciplinary team of engineers, data scientists, and product stakeholders to design and implement scalable data infrastructure. The primary focus will be enabling platform capabilities tailored for government and defense-related environments.

Key Responsibilities
  • Design and build robust data ingestion and processing pipelines to support AI and GenAI applications
  • Develop and maintain high-quality Python-based data workflows, including testing and validation
  • Collaborate with cross-functional teams including software engineers, data scientists, and UI/UX designers
  • Implement and enhance CI/CD pipelines (including GitHub Actions) to streamline deployment and integration processes
  • Work across multi-cloud environments (AWS primarily; exposure to Azure and GCP is beneficial)
  • Utilize containerization technologies (Docker) to support scalable and portable deployments
  • Contribute to the development and optimization of data systems used by generative AI applications
  • Ensure performance, reliability, and scalability of data pipelines through monitoring and diagnostics
What You'll Experience
  • Opportunity to work on high-impact AI platform initiatives
  • A fast-paced, performance-driven environment with strong technical mentorship
  • Continuous learning through structured development programs and real-world problem solving
  • A collaborative culture that values innovation, ownership, and diverse perspectives
  • Exposure to globally distributed teams and modern engineering practices
  • Competitive compensation along with a comprehensive benefits package
Required Qualifications
  • U.S. Citizenship is required
  • Prior experience supporting defense or government environments, including handling classified or sensitive data
  • Active Secret clearance required (Top Secret or higher preferred)
  • 5+ years of experience in data engineering, with a strong focus on cloud-based solutions
Technical Skills & Expertise
  • Strong proficiency in Python for data engineering and pipeline development
  • Hands-on experience with AWS-based data engineering (experience with Azure or GCP is a plus)
  • Deep understanding of data modeling, data ingestion frameworks, and pipeline architecture
  • Experience working with knowledge graphs, particularly using Neo4j, and familiarity with relational databases
  • Expertise in writing clean, maintainable, and testable code, including automation and error handling best practices
  • Practical experience with Docker and containerized workflows
  • Strong background in data pipeline performance tuning, monitoring, and troubleshooting
  • Excellent analytical and problem-solving capabilities
  • Effective communication skills and ability to collaborate within cross-functional teams

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