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

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... 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 ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Support machine learning and AI solutions through data engineering, feature engineering, and operationalization activities. * Build reusable frameworks, components, and automation capabilities to ...

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 ...

Data Quality Engineer

Chicago, IL · 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 · 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 · 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 ...

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Design and build enterprise-scale data engineering solutions that power metadata-driven and intelligent automation capabilities. * Work hands-on with modern cloud technologies including Google Cloud ...

New

Lead Data Engineer

Chicago, IL · On-site

$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

$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

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

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

$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 · 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 · 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 · 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 Engineers

Chicago, IL

$118K - $141K/yr

... engineering, Data modeling. Job Requirements * *Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data analytics with large data ...

Showing results 21-40

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 Aug 6, 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.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as organizations seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark or Kafka enhance employability in this schedule. Demand depends on industry needs and company size, but data engineering remains a critical role across sectors.

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.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.
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:

$118K - $141K/yr

Full-time

Re-posted 16 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.