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

Data Engineer

Oak Brook, IL

$115K - $138K/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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/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 ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/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 ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer Location: Chicago, IL Primary Skills: Business Intelligence, Azure, C#, Data Warehouse, Python, SQL, Java Location: 100% Remote Overview: * Companyy (IT) vision and strategy consists of ...

Data Engineer

Chicago, IL · On-site

$175 - $225/hr

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 ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer Location: Chicago, IL Primary Skills: Business Intelligence, Azure, C#, Data Warehouse, Python, SQL, Java Location: 100% Remote Overview: * Companyy (IT) vision and strategy consists of ...

Data Engineer

Romeoville, IL · On-site

$96 - $134/hr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work ...

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

10+ years of IT experience, including deep expertise in data engineering & ETL. 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines. Strong hands-on experience ...

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 ...

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required: SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

Data Engineer

Chicago, IL · On-site

$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 ...

Data Engineer

Chicago, IL · On-site

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making ...

Data Engineer

Chicago, IL · Hybrid

$100K - $115K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making ...

Remote Data Engineer

Oak Brook, IL · Remote

$115K - $138K/yr

Sr. Data Engineer This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and ...

Data Engineer

Elk Grove Village, IL · On-site

$113K - $135K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

New

Data Engineer III

Chicago, IL · On-site

$117K - $141K/yr

McDonald's is hiring a Data Engineer III focused on Data Clean Room data ingestion, curation, and analytics . This role sits within Product Engineering & Delivery under Data Clean rooms team and ...

New

Remote Data Engineer

Oak Brook, IL · Remote

$115K - $138K/yr

Sr. Data Engineer This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and ...

Showing results 21-40

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 5, 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:

$115K - $138K/yr

Full-time

Posted 15 days ago


Job description

Description

In this role, you'll help Collegis Education strengthen its data capabilities by building reliable, scalable, and secure data solutions that support professional services, partner insights, and data-driven decision-making.


This role exists to design, develop, and maintain data integration and transformation solutions across cloud-native environments, ensuring data pipelines, data quality, governance, and architecture support the needs of Collegis Education and its higher education partners.


What You'll Do:

  • Design, develop and maintain data integration and transformation solutions using cloud-native tools such as Apache Beam, Google Cloud Data Fusion, dbt, serverless functions, and cloud-based database and data storage solutions.
  • Build and run scalable and reliable data pipelines using cloud data pipeline orchestration tools and approaches.
  • Ensure data quality and governance by implementing data quality processes and workflows.
  • Collaborate with cross-functional teams to identify and integrate new data sources and to ensure alignment to data governance and security standards.
  • Provide technical expertise in executing cloud-native big data architecture, including cloud data warehouse, data lake, and lakehouse approaches.
  • Understand cloud and legacy RDBMS and NoSQL design patterns and trade-offs.
  • Design, develop and deploy data solutions using common API integration and consumption patterns.
  • Ensure adherence to development and security processes and workflows.
  • Chip into team competency and cohesion with other data engineers through code reviews, working sessions, knowledge sharing sessions, and team activities.
  • 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 data and report any security related issues.
  • Reduce risk of theft, fraud, or misuse of information assets by acting as the data steward for the application(s) you administer.

What You'll Bring: Experience & Skills

  • Bachelor's or Master's Degree in MIS, IS, Business Analytics, Computer Science, a related field, or equivalent experience.
  • 2-5 years of experience in data engineering.
  • Advanced SQL, plus bash and Python competency. Terraform familiarity a plus.
  • Experience with cloud-native data integration and transformation tools such as Apache Beam, Google Cloud Data Fusion, dbt, serverless functions.
  • Experience with cloud-native data storage solutions.
  • Experience with common API integration and consumption patterns.
  • Experience with cloud data pipeline orchestration tools and approaches.
  • Experience working with cloud-native big data architecture, including cloud data warehouse, data lake, and lakehouse approaches.
  • Ability to understand cloud and legacy RDBMS and NoSQL design patterns and trade-offs.
  • Strong proficiency with data quality processes and workflows.
  • Working experience with DevOps processes and workflows.
  • Working experience with data governance and security standards.
  • Strong organizational skills.
  • Strong documentation skills.
  • Ability to independently prioritize tasks with and without manager feedback.
  • Ability to manage technical partner engagements.


Requirements

Education & Certifications:

  • Bachelor's or Master's Degree in MIS, IS, Business Analytics, Computer Science, a related field, or equivalent experience.
  • Relevant certifications in data engineering or cloud computing is a plus, with GCP preferred.

Work Environment & Schedule:


Collegis employs team members in a variety of locations across the country, supporting a flexible and distributed workforce. Depending on candidate location, this position may be structured as either remote or hybrid. Candidates located within 60 miles of our Oak Brook, IL office or a partner school will be expected to follow a hybrid schedule, working onsite 2-3 days per week to support collaboration and team engagement, while those outside this radius may work fully remotely. Specific expectations based on location will be discussed during the interview process.


Who We Are:


Collegis Education partners with higher education institutions to deliver technology, marketing, and enrollment solutions that support the full student lifecycle. Our teams work across institutions to improve operations, enhance the student experience, and drive meaningful outcomes for both students and our partners. For more information about Collegis Education, please visit www.collegiseducation.com.


Beware of Scams: Please note that all inquiries regarding Collegis Education job postings will come from an email domain of @mail.paylocity.com or @collegiseducation.com.Collegis Education is committed to the policy that all persons shall have equal access to its programs, facilities, and employment without regard to race, color, creed, religion, national origin, sex, age, marital status, disability, public assistance status, veteran status, or sexual orientation.Â