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

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Manager, Data Engineering

Chicago, IL · On-site

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

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Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

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Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Saxon Global

Data Engineer

Lisle, IL · On-site

$112.90K - $135.60K/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:

Joint Commission

Data Engineer

Oak Brook, IL · On-site

$143K/yr

Responsibilities Data Engineering & Pipeline Development · Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and Microsoft Fabric. · Build and ...

BCS Financial Corporation

Data Engineer

Villa Park, IL · On-site

$113.80K - $136.60K/yr

This position will report to the Director of Data Engineering. Essential Elements List the duties and responsibilities the incumbent would be spending at least 15 - 20% of their time doing in this ...

1872 Consulting

Remote Data Engineer

Oak Brook, IL · Remote

$115.70K - $138.90K/yr

... engineering solutions to support advanced analytics capabilities and drive innovation and decision-making across our enterprise. Responsibilities: * Build and maintain real-time and batch data ...

JConnect Infotech

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field. * 5+ years of experience in data engineering, ETL/ELT, and data pipeline development. * Hands-on experience with ...

TransMarket Group

Junior Data Engineer

Chicago, IL

$118K - $141.60K/yr

Description Our Data Engineering team designs, builds, and supports the data systems that power our proprietary trading business. This smaller, focused team works closely with software developers ...

Dlapiper

Data Engineer

Chicago, IL

$118K - $141.60K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141.80K/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 - $141.80K/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 ...

Diverse Lynx

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Experience with CI/CD pipelines for data engineering workflows. What the Client is Specifically Looking For * Engineers who can independently design solutions using PySpark (not limited to Databricks)

Tree Top Staffing LLC

Data Engineer

Wheeling, IL · On-site

$75K - $90K/yr

To succeed in this Data Engineering position, you should have strong analytical skills and the ability to combine data from different sources. Responsibilities: * Analyze and organize raw data

Numerator

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Collaborate with Product, Analytics, Data Science, and Engineering teams to build or enhance data products while ensuring adherence to data quality standards * Lead complex, end-to-end projects ...

Numerator

Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Collaborate with Product, Analytics, Data Science, and Engineering teams to build or enhance data products while ensuring adherence to data quality standards * Lead complex, end-to-end projects ...

Deloitte

Sr Databricks Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Required : • Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams • 5+ years of ...

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All JobsWeekend Data Engineering JobsWeekend Data Engineering Jobs in Chicago, IL

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 May 28, 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.

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

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 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:
Weekend Data Engineering jobs near you
Manager, Data Engineering

Manager, Data Engineering

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Chicago, IL • On-site

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This job post has expired today. Applications are no longer accepted.

Job description

Manager For The Data & Ai Team

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.

Responsibilities

  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables

Minimum Requirements

  • Bachelor's degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies

Preferred Qualifications

  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra

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