1

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

Data Engineer - PySpark, Databricks & AWS Redshift Location: Chicago, IL (locals Only) Employment Type: W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in ...

Data Engineer

Chicago, IL · On-site

$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 ...

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 ...

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Development, Cloud Engineering & DevOps Cloud Platform: AWS (Compute, Storage, Networking, IAM and related cloud resources) Data Engineering Skills: Python, PySpark, SQL, Prefect ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Engineer

Chicago, IL

$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 ...

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 ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

About The Role We are seeking a Data Engineer to design, build, andmaintainthe data pipelines and infrastructure that power K1x's machine learning initiatives and future analytics-driven product ...

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 ...

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 ...

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 ...

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 ...

Data Engineer

Oak Brook, IL · On-site

$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 ...

New

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

They are seeking a dedicated and experienced Data Engineer to architect and develop their Big Data environment while ensuring data integrity and collaborating with teams on data modeling.

next page

Showing results 1-20

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 Aug 24, 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:

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.

$35 - $38/hr

Full-time

Posted 12 days ago


Job description

Data Engineer – PySpark, Databricks & AWS Redshift
Location: Chicago, IL (locals Only)
Employment Type: W2 Contract


Job Description
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 solid background in designing, building, and optimizing scalable data pipelines and data processing solutions in cloud-based environments.


Requirements
Required Qualifications
Atleast 7 plus years of Strong professional experience as a Data Engineer working with large-scale data platforms.
Extensive hands-on experience with PySpark.
Strong experience with Databricks, including developing and optimizing production data pipelines.
Strong hands-on experience with AWS Redshift.
Proficiency in Python and SQL.
Experience building and maintaining ETL/ELT pipelines and data processing workflows.
Strong understanding of data warehousing, data modeling, and distributed data processing concepts.
Experience working with cloud-based data platforms, preferably AWS.
Strong troubleshooting, performance-tuning, and problem-solving skills.
Prior experience within e-commerce, airlines, transportation, or logistics environments is highly desirable.