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

Data Engineer

Chicago, IL

$118K - $141K/yr

... engineering environment * 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters * 2+ years of experience building applications/pipelines with Big Data ...

Data Engineers

Chicago, IL · On-site

$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 ...

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 ...

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

You have 8+ years of data engineering experience, including 3+ years in a lead role architecting large-scale data platforms. * Expert-level proficiency in Java, Springboot for building cloud-native ...

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

You have 8+ years of data engineering experience, including 3+ years in a lead role architecting large-scale data platforms. * Expert-level proficiency in Java, Springboot for building cloud-native ...

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

10+ years of IT experience, including deep expertise in data engineering & ETL. 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines. Strong hands-on experience ...

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Qualifications * 10+ years of technology development experience including 5+ years of data engineering, reporting and analytics related experience. * Bachelor's Degree in Programming, Computer ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

The ideal candidate has a strong technical background in data integration, data modeling, and modern data engineering tools -- specifically Microsoft Power BI, Microsoft Fabric, and a variety of ETL ...

Sr Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks Engineer ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required : • 5+ years experience working in a mature data engineering environment • 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters • 2+ years of ...

Data Engineer

Evanston, IL

$109K - $132K/yr

Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices. * Optimize data processing performance, reliability, and ...

Data Engineer

Chicago, IL · 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 ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Showing results 41-60

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

Other

Re-posted 12 days ago


Job description

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 forefront of the evolving global financial markets.

Core Responsibilities

  • Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
  • Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
  • Collaborate with development teams on data modeling, data ingestion, and capacity planning
  • Work with users to ensure data integrity and availability
  • Act as a Big Data SME and consult on a variety of data-related questions from users and developers

Skills and Experience:

  • 5+ years experience working in a mature data engineering environment
  • 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
  • 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
  • Experience with Apache Spark, Apache Flink or similar tools
  • Strong Java, Python, and SQL development skills
  • Experience with common data-science toolkits, especially python-based
  • Hands-on experience with Kubernetes and Docker
  • Experience with monitoring tools such as Prometheus/Grafana, Alert Manager, Alerta and OpsGenie
  • Strong statistical analysis skills
  • Demonstrated ability to troubleshoot and conduct root-cause analysis
  • Unix scripting experience (bash, python, etc.)

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