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

The Joint Commission

Data Engineer

Oak Brook, IL · On-site

$107 - $143/hr

Overview The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data ...

New

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

Overview The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data ...

Joint Commission

Data Engineer

Villa Park, IL · On-site

$107K - $143K/yr

The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data platforms. This role focuses on building scalable, efficient, and secure data solutions ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and ...

Premier Inn Hotels LLC (UAE)

Data Engineer

Chicago, IL · On-site

$120 - $160/hr

W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS Redshift to join our data engineering team. The ideal candidate will have a ...

New

1872 Consulting

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer - I The Data Engineer - I will be responsible for building and maintaining optimal data pipeline and reporting architecture for the next generation Data Warehouse, reporting, and data ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Roadrunner

Data Engineer

Downers Grove, IL · On-site

$114K - $137K/yr

We are seeking an experienced Data Engineer with expertise in the Microsoft Business Intelligence stack to design, build, and maintain robust data pipelines and analytical models. This role focuses ...

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

1872 Consulting

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer - I The Data Engineer - I will be responsible for building and maintaining optimal data pipeline and reporting architecture for the next generation Data Warehouse, reporting, and data ...

Guidehouse

Data Engineer

Chicago, IL · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation ... Must be able to work flexible hours, including weekends and evenings. * Must be able to learn new ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$125K - $200K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation ... Must be able to work flexible hours, including weekends and evenings. * Must be able to learn new ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$125 - $200/hr

The Data Engineer will be responsible for the collection, storage, processing, and transformation ... Must be able to work flexible hours, including weekends and evenings. * Must be able to learn new ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$125K - $200K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation ... Must be able to work flexible hours, including weekends and evenings. * Must be able to learn new ...

IMC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of ...

Prolaio

Data Engineer

Chicago, IL · On-site

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

Prolaio

Data Engineer

Chicago, IL · On-site

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

Collegis LLC

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere to and enforce the appropriate information security policies based on the sensitivity of company ...

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

Weekend Data Engineer information

See Lisle, IL salary details

$43.9K

$127.9K

$175K

How much do weekend data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data engineer in Lisle, IL is $127,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $135,600.00 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 Lisle, IL?

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

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

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

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

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

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

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

Weekend Data Engineer jobs near you

Data Engineer

The Joint Commission

Oak Brook, IL • On-site

$107 - $143/hr

Other

Posted 3 days ago

New

Job description

Overview

The Data Engineer is responsible for designing, developing, and optimizing enterprise data pipelines and data

platforms. This role focuses on building scalable, efficient, and secure data solutions using modern cloud

technologies. The engineer collaborates with analytics, BI, and business teams to transform requirements into

reliable data assets that support reporting, analytics, and operational needs.

Responsibilities Data Engineering & Pipeline Development
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, Foundry, and
  • Microsoft Fabric.
  • Build and optimize data ingestion, transformation, and integration processes across structured and
  • unstructured data sources.
  • Develop and support data lakes, lakehouses, and data warehouse environments using MSSQL and cloud-native platforms.
  • Implement ETL/ELT best practices to ensure performance, reliability, and data quality.
  • Automate data workflows and monitor pipeline health; identify and resolve issues promptly.
Collaboration & Solution Delivery
  • Work closely with analytics, BI, and business teams to understand data requirements and translate them into technical solutions.
  • Partner with cross-functional teams to support data-driven initiatives and ensure pipelines align with reporting and operational needs.
  • Contribute to documentation of data structures, transformation logic, and system dependencies.
Technology Enablement & Best Practices
  • Contribute to evaluating and adopting new tools, frameworks, and technologies that enhance data engineering efficiency and scalability.
  • Follow standards for code quality, testing, version control, and documentation.
  • Apply data governance, quality, and reliability principles in daily engineering work.
Business Intelligence & Analytics Support
  • Build reusable data models and curated datasets to enable self-service analytics.
  • Ensure downstream BI teams receive accurate, well-structured, and timely data.
  • Transform business requirements into scalable and maintainable technical designs.
Compliance & Security
  • Ensure data engineering solutions align with privacy regulations such as GDPR and HIPAA, as well as internal security requirements.
  • Maintain proper data access controls and contribute to monitoring data quality and compliance metrics.
Qualifications Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 5–7 years of experience in data engineering, ETL/ELT development, or cloud data platforms.
  • Hands-on experience with Azure Data Factory, Databricks, Microsoft Fabric, and MSSQL.
  • Strong knowledge of data lake, lakehouse, and data warehouse architectures.
  • Solid understanding of ETL/ELT processes, data modeling, and metadata management.
  • Proficiency in SQL and Python; familiarity with cloud platforms and big data technologies.
  • Ability to diagnose data issues, optimize performance, and work with cross-functional technical and business teams.
Preferred Certifications
  • Microsoft Certified: Azure Data Engineer Associate
  • Databricks Certified Data Engineer
  • Certifications related to data governance, risk, or compliance
  • Master’s degree in Computer Science, Information Systems, or related fields
Equal Opportunity Field

We offer a comprehensive benefit package. For a complete overview of our benefits package, please visit our Joint Commission Career Page

We are an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Min

USD $107,000.00/year

Max

USD $143,000.00/year

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