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

Data Engineer

Chicago, IL ยท 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 ...

Data Quality Engineer

Chicago, IL ยท Remote

$118K - $141K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

Data Quality Engineer

Downers Grove, IL ยท Remote

$114K - $137K/yr

As a senior member of the data engineering team, you will be responsible for developing scalable data validation frameworks, ensuring data integrity across pipelines and platforms, implementing ...

GCP Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline Development * Design, build, and optimize scalable batch and real-time (streaming) data pipelines using GCPnative services. * Develop and maintain ...

Data Engineer (Databricks on AWS)

Chicago, IL ยท On-site

$118K - $141K/yr

Required Qualifications * 10+ years of IT experience with a strong Data Engineering background. * 4-6+ years of recent hands-on experience designing, building, and scaling enterprise data pipelines.

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Support ETL/ELT processes and collaborate with data engineering teams. * Collaboration & Leadership: Partner with application developers, data engineers, BI teams, and stakeholders to understand data ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Lead Data Engineer

Chicago, IL ยท On-site

$200K/yr

As a critical engineering presence in Chicago, you'll directly influence local data strategy while collaborating with our Global Research and Data Platform teams. Your work will drive real-time ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Data Engineer

Chicago, IL

$118K - $141K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Data Engineer

Downers Grove, IL ยท On-site

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Engineer

Chicago, IL

$118K - $141K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Data Engineer

Downers Grove, IL ยท On-site

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Engineer

Downers Grove, IL

$114K - $137K/yr

This role focuses on backend data engineering using strong SQL skills, SQL Server Analysis Services (SSAS) for tabular modeling, and Power BI for data visualization and reporting. The ideal candidate ...

Data Solutions Engineer

Chicago, IL ยท On-site

$98K - $160K/yr

Data Platform & Databricks Administration - Strong data engineering background with experience designing, building, and supporting data pipelines and cloud data platforms. Hands-on experience ...

Senior Data Engineer / Analytics Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

The goal of analytics engineering team within the Service Analytics and AI organization is to build curated data products leveraging data from structured and unstructured enterprise data sources to ...

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Weekend Data Engineering information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do weekend data engineering jobs pay per year?

As of Jul 16, 2026, the average yearly pay for weekend data engineering 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 engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in Chicago, IL? The most popular types of Data Engineering jobs in Chicago, IL are:

Data Engineer

Tredence Analytic

Chicago, IL โ€ข On-site

$118K - $141K/yr

Full-time

Re-posted 26 days ago


Job description

Company Description
Tredence is a global analytics services and solutions company. 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 business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.
Job Description
We are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.
To ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.
Essential Responsibilities
  • Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)
  • Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
  • Design, develop, and implement data processing pipelines at scale
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.

Qualifications
  • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
  • At least 3 years of proven experience as a Data Engineer.
  • Expert proficiency in Python, C++, Java, R, and SQL.
  • Familiarity with Hadoop or suitable equivalent.
  • Excellent analytical and problem-solving skills.
  • A knack for independent and group work.
  • Scrupulous approach to duties.
  • Capacity to successfully manage a pipeline of duties with minimal supervision.

Additional Information
All your information will be kept confidential according to EEO guidelines.
Videos To Watch
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