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

The Aspen Group

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

The Aspen Group

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

The Aspen Group

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

Prophecy Technologies

Azure Data Engineering

Deerfield, IL · On-site

$116K - $139K/yr

Azure Data Engineering Location: Deerfield, IL Experience: 6-8 Years Roles & Responsibilities: * Work with customers on solution design and architecture. * Coordinate with offshore teams for ...

Prophecy Technologies

Azure Data Engineering

Deerfield, IL · On-site

$116K - $139K/yr

Azure Data Engineering Location: Deerfield, IL Experience: 6-8 Years Roles & Responsibilities: * Work with customers on solution design and architecture. * Coordinate with offshore teams for ...

Deinde Financial, LLC

Be Seen First

Data Engineering Manager

Chicago, IL · On-site

$170K - $180K/yr

About the Role We are a financial services company hiring a Data Engineering Manager to lead a small, high-impact team building the data infrastructure behind our loan performance, portfolio ...

Digitas

Manager, Data Engineering

Chicago, IL · On-site

$88K - $127K/yr

Data Manager of Data Engineering PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction ...

Prodigious Worldwide

Manager, Data Engineering

Chicago, IL · On-site

$88K - $127K/yr

Manager, Data Engineering PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where ...

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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 Jun 25, 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 $500,000?

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

Will AI replace ETL?

AI can automate parts of the ETL (Extract, Transform, Load) process, improving efficiency and reducing manual effort for data engineers. However, human oversight is still essential for designing, monitoring, and troubleshooting complex data workflows, so AI is more of a complement than a complete replacement for ETL roles.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and tools such as Apache Spark and Hadoop enhance employability in this field.

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:
Weekend Data Engineering jobs near you
Manager, Data Engineering

Manager, Data Engineering

Strata Decision Technology

Chicago, IL • On-site

$131K - $164K/yr

Other

Medical, Life, Retirement, PTO

Posted 13 days ago

Job description

How you'll make an impact: 

We're looking for a Data Engineering Manager to lead a team of talented data engineers who are passionate about building resilient, scalable data infrastructure that supports some of the nation's top healthcare providers. 

In this role, you won't just be writing code, you'll also be setting the strategy, coaching your team, and helping to shape how we transform data into insights that help our customers fuel their missions. You'll help us scale our data platform, integrate emerging technologies, and collaborate across departments to ensure our data engineering efforts are aligned, efficient, and forward-looking. 

If you're energized by mentoring engineers, navigating technical complexity, and improving processes while keeping your hands in the data, we'd love to meet you. 

What you'll do: 

  • Lead and grow a team of data engineers to support their development, help remove blockers, and foster a collaborative, inclusive team culture. 
  • Oversee architecture and implementation of our cloud-based data infrastructure (Snowflake, AWS, etc.) to support both operational data delivery and producing consumable data product. 
  • Partner cross-functionally with Data Science, Product, and Engineering teams to develop high-impact data products and pipelines. 
  • Drive data engineering best practices across the org-code quality, documentation, testing, observability, and reproducibility. 
  • Stay close to the work by reviewing code, guiding architectural decisions, and occasionally rolling up your sleeves to code when needed. 
  • Champion platform scalability by designing systems that handle large volumes of structured and unstructured data with resilience and speed. 
  • Understand business and operational problems that new tools (Dagster, dbt, etc.) and technology that would improve automation, performance, and data engineering workflows. 
  • Ensure data reliability and performance by monitoring data pipelines, addressing data quality issues, and driving continuous improvement initiatives. 
  • Mentor team members and foster technical growth across the group through thoughtful feedback, knowledge sharing, and career coaching. 
  • Collaborate on strategic planning with leadership-aligning data engineering goals with business objectives. 
  • Cross team collaboration to share ideas and best practices across teams  

What we're looking for: 

  • 5+ years of experience in data or software engineering, including at least 1-2 years in a people management or team lead role. 
  • Strong proficiency in SQL and Python-you know when to optimize a query and when to refactor a script. 
  • Experience designing and supporting modern cloud data platforms (Snowflake, AWS, etc.). 
  • Deep understanding of ETL architecture, data modeling, and distributed systems. 
  • Hands-on experience with tools like Dagster, dbt, or similar orchestration/modeling frameworks. 
  • Familiarity with CI/CD pipelines, infrastructure-as-code, and modern DevOps practices. 
  • Excellent communication skills-able to bridge technical and non-technical audiences, and to advocate effectively for your team. 
  • Comfort working in fast-paced, agile environments where priorities may shift and growth is constant. 
  • Bonus points for experience in healthcare or finance domains, or exposure to machine learning workflows. 

Estimated Salary Range: $131,000 - $164,000
Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

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