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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

$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 ...

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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 ...

Geneva Trading

Data Engineering Manager

Chicago, IL · On-site

The Role We are looking for a Data Engineering Manager to own our market data platforms and analytical data systems. This is not a pure people-management role. You will manage a small team, but you ...

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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 ...

Dlapiper

Data Engineer

Chicago, IL

$118K - $141K/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 - $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 ...

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All JobsData Engineering 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 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:
Weekend Data Engineering jobs near you
Manager, Data Engineering

Manager, Data Engineering

The Aspen Group

Chicago, IL • On-site

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united with a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale.
As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Manager, Data Engineering.
Job Description
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 management, architecture, platform engineering, and operations.
The right person can lead a team of Data Engineers and still do the work themselves - technical design, code reviews, incident management, platform modernization, and engineering standards. They'll also drive AI-assisted development, automation, and cloud cost optimization to keep the team productive and the platform scalable.
Key Responsibilities
Leadership & Delivery
  • Lead, mentor, and grow a team of Data Engineers across multiple domains.
  • Run sprint planning, backlog prioritization, and delivery.
  • Balance strategic work, operational support, and technical debt.
  • Partner with business, analytics, and technology leaders to align priorities.

Data Platform & Engineering
  • Own the architecture and delivery of scalable data pipelines, semantic models, and data products.
  • Set standards for data modeling, integration, and platform architecture across dbt, Airflow/Cloud Composer, BigQuery, Terraform, and CI/CD.
  • Lead design reviews, evaluate new technologies, and drive platform modernization.

AI & Engineering Excellence
  • Lead AI-assisted development (Claude AI/Gemini Enterprise) across code reviews, documentation, testing, and automation.
  • Set standards and governance for responsible use of AI-generated code.

Reliability, Operations & Cloud
  • Own data platform reliability, monitoring, incident response, and root cause analysis.
  • Establish SLAs, operational metrics, and on-call processes.
  • Ensure compliance with data governance, security, privacy, and access management.
  • Optimize performance, scalability, and cost across GCP, including BigQuery consumption, storage, and slot utilization.

Qualifications
Required Experience
  • Bachelor's degree in computer science, Engineering, Information Systems, or related field. GCP Professional Data Engineer Certification a plus.
  • 7+ years of Data Engineering experience with modern cloud data platforms.
  • 3+ years of leadership experience managing Data Engineering teams.

Technical Skills
  • Strong expertise in SQL, Python, dbt, and Airflow/Cloud Composer.
  • Hands-on experience with Google Cloud Platform, including BigQuery, GCS, Pub/Sub, Dataflow, Cloud Functions, and Vertex AI.
  • Experience with Infrastructure as Code (Terraform) and CI/CD automation.
  • Strong understanding of data warehousing, semantic modeling, data quality, and governance across batch, streaming, and event-driven architectures.

Leadership Competencies
  • Strong communication and stakeholder management skills.
  • Ability to translate business requirements into scalable technical solutions.
  • Experience leading cross-functional initiatives and influencing technical direction.
  • Track record of building strong teams and a solid engineering culture.

*This role is onsite 4 days/week in our Chicago office (Fulton Market District)
Annual Salary Range: $160,000-$190,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match.
If you are an applicant residing in California, please view our privacy policy here: https://careers.aspendental.com/us/en/tag-privacy-policy-for-california-employees

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