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Weekend Data Engineer Jobs in Addison, IL (NOW HIRING)

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • Design and ...

HUB

Data Engineer

Chicago, IL

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

PB consulting

Data Engineer

La Grange Park, IL · On-site

$114K - $137K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Ridgefield, IL · On-site

$111K - $133K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Winnetka, IL · On-site

$120K - $144K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Maywood, IL · On-site

$112K - $134K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Rosemont, IL · On-site

$115K - $138K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Kenilworth, IL · On-site

$118K - $141K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Itasca, IL · On-site

$111K - $133K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Techny, IL · On-site

$116K - $139K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Niles, IL · On-site

$114K - $136K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Wood Dale, IL

$114K - $137K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Hillside, IL · On-site

$112K - $135K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Northlake, IL · On-site

$113K - $136K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Elmwood Park, IL · On-site

$112K - $134K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Hodgkins, IL · On-site

$113K - $136K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Harwood Heights, IL · On-site

$113K - $135K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Westmont, IL · On-site

$114K - $137K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

PB consulting

Data Engineer

Roselle, IL · On-site

$114K - $138K/yr

Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions. * Support data modeling, ETL/ELT, master data management, data warehousing, analytics ...

New

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All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Addison, IL

Weekend Data Engineer information

See Addison, IL salary details

$44.6K

$130K

$177.8K

How much do weekend data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for weekend data engineer in Addison, IL is $129,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $137,800.00 per year, depending on experience, location, and employer.

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Addison, IL?

The most popular types of Data Engineer jobs in Addison, IL are:

What are popular job titles related to Weekend Data Engineer jobs in Addison, IL?

For Weekend Data Engineer jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Addison, IL look for?

The top searched job categories for Weekend Data Engineer jobs in Addison, IL are:

What cities near Addison, IL are hiring for Weekend Data Engineer jobs?

Cities near Addison, IL with the most Weekend Data Engineer job openings:

Weekend Data Engineer jobs near you
Infographic showing various Weekend Data Engineer job openings in Addison, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $129,959 per year, or $62.5 per hour.

Data Engineer

Chicago, IL • On-site

Inspire11
Business Management Consulting • 51 - 200 employees
Learn more about Inspire11external

$118K - $141K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
Inspire11 is a modern business and technology consulting firm that values creativity and collaboration. As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value.
Responsibilities:
• Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
• Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
• Define and build scalable ingestion patterns for structured and unstructured data
• Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
• Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
• Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
• Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
• Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
• Engage directly with clients to share progress, provide recommendations, and align on deliverables.
• Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
• Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.
Qualifications:
Required:
• 3+ years of experience in data engineering, analytics engineering, or software development.
• Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
• Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
• Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
• Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
• Experience with data warehouse design, dimensional modeling, or analytical data models.
• Knowledge of software development practices, including Git, automated testing, and CI/CD.
• Awareness of data governance and security principles, including privacy, cataloging, and compliance.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent training and project experience.
Company:
Inspire11 is a service, digital, and management consulting firm dedicated to making an impact for clients, employees, and communities. It is a sub-organization of Insight. Founded in 2016, the company is headquartered in Chicago, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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