1

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

Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloud‑native data engineering vision while developing scalable platforms and reusable tooling. The ...

Mgr, Data Engineering

Lake Forest, IL · On-site +1

$134.10K - $223.50K/yr

Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloud-native data engineering vision while developing scalable platforms and reusable tooling. The ...

Mgr, Data Engineering

Lake Forest, IL · On-site

$134.10K - $223.50K/yr

Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloudnative data engineering vision while developing scalable platforms and reusable tooling. The ...

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 ...

Azure Data Engineering

Deerfield, IL · On-site

$116.40K - $139.80K/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 ...

Mgr, Data Engineering

Lake Forest, IL · On-site

$134.10K - $223.50K/yr

Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloudnative data engineering vision while developing scalable platforms and reusable tooling. The ...

Azure Data Engineering

Deerfield, IL · On-site

$116.40K - $139.80K/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 ...

Manager, Data Engineering

Chicago, IL · On-site

$88.54K - $127.16K/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 ...

Software Engineer - Data Engineering

Chicago, IL · On-site

$118K - $141.80K/yr

Responsibilities : • Work within a growing Data Engineering division supporting the strategic role of data at Akuna • Drive the ongoing design and expansion of our data platform across a wide ...

Microsoft Fabric Data Engineering Lead

Chicago, IL · Remote

$118K - $141.80K/yr

Microsoft Fabric Data Engineering Lead Location : REMOTE or Chicago, IL Microsoft Fabric Data Engineering Lead Role Summary The Microsoft Fabric Data Engineering Lead will be responsible for building ...

Databricks/Data Engineering

Chicago, IL · On-site

$118K - $141.80K/yr

Sr. Consultant (Databricks/Data Engineering) Role Description: Candidate Profile The ideal candidates are not just practitioners but experts in the Databricks ecosystem. Optiver is a highly technical ...

next page

Showing results 1-20

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:
Manager, Data Engineering

Manager, Data Engineering

Strata Decision Technology

Chicago, IL • On-site

Full-time

Posted 14 days ago


Job description

Job Summary:
Strata Decision Technology is seeking a Data Engineering Manager to lead a team of data engineers focused on building scalable data infrastructure for healthcare providers. The role involves setting strategy, mentoring engineers, overseeing cloud-based data architecture, and ensuring data reliability and performance while collaborating across departments.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• Bonus points for experience in healthcare or finance domains, or exposure to machine learning workflows.
Company:
Strata Decision Technology offers financial analytics, business intelligence, and decision support services for the healthcare industry. Founded in 1996, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.