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

CoSourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

Next Step Systems

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer, Trading, Chicago, IL A proprietary trading firm is seeking a Data Engineer with Trading experience to join its Data Infrastructure team, to help improve and extend the data platform.

Deloitte

Databricks Data Engineer

Chicago, IL

$118K - $141K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Jenner & Block

Enterprise Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

POSTION SUMMARY Jenner & Block is seeking an experienced Enterprise Data Engineer to join our Information Technology team. In this role, you will design, build, and maintain the data pipelines and ...

Contact Government Services, LLC

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

NEWITY

Data Engineer

Chicago, IL · On-site

$117K - $141K/yr

Work with Product, Engineering, Operations, Sales, and Compliance so data solutions actually fit the downstream use case * Write the runbooks and documentation that on-call teammates and stakeholders ...

Contact Government Services, LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Contact Government Services LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on ...

AceStack LLC

Snowflake Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Snowflake Data Engineer Location: Chicago, IL (Local Prefers) Contract Experience Level 8+ years in Data Engineering, with a proven track record of leading large-scale data modernization or ...

Diverse Lynx

Data Engineer - Lead

Deerfield, IL · On-site

$85/hr

Data Engineer - Lead Location: Irvine, CA - onsite Duration: 6 months Rate- $85/hr C2C Data engineering delivery- POD level; Skills- pipeline design, performance tuning (Databricks, Spark, PySpark ...

Equiliem

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer hybrid model Location: 311 S Wacker Dr #1600, Chicago, IL & Ann Arbor, MI. Job type: 9 Months Contract Exp Level: Min 8+ Years. * Design, develop, and maintain database structures and ...

CVS Health

Data Engineer

Downers Grove, IL · On-site +1

$113K - $158K/yr

Data Engineer to analyze data engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex ...

Nava Software Solutions

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Details: Sr. Data Engineer Location: Chicago, IL (Hybrid at least 2 days a week) Duration: 6-12 months Key Responsibilities and Essential Functions: * Design, build, and support durable data ...

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects. This position will require working with complex data sources and transforming it into something ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

CVS Health

Data Engineer

Downers Grove, IL · On-site +1

$113K - $158K/yr

Data Engineer to analyze data engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex ...

New

Green Thumb

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

You'll design and maintain the pipelines, infrastructure, and systems that make clean, reliable data possible so that analysts, engineers, and business stakeholders can trust what they're looking at.

NAVA Software Solutions

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Details: Sr. Data Engineer Location: Chicago, IL (Hybrid at least 2 days a week) Duration: 6-12 months Key Responsibilities and Essential Functions: * Design, build, and support durable data ...

CVS Health

Data Engineer

Chicago, IL · On-site +1

$113K - $158K/yr

Data Engineer to analyze data engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex ...

New

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All 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 Jun 23, 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 are Weekend Data Engineers?

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 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 typical expectations and work patterns for a Weekend Data Engineer position?

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 are the key skills and qualifications needed to thrive as a Weekend Data Engineer, and why are they important?

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 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 June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 62% Full Time, 32% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $129,959 per year, or $62.5 per hour.
GCP Data Engineer

GCP Data Engineer

CoSourcing Partners

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 18 days ago

Job description

Job Title: GCP Data Engineer
Duration: 6 months Contract to hire
Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S.
Role Overview
We are seeking a highly skilled GCP Data Engineer to design, develop, and optimize scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in building robust batch and streaming pipelines, implementing modern data architectures, and enabling reliable, high-quality data platforms for analytics, reporting, and machine learning use cases.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, build, and optimize scalable batch and real-time (streaming) data pipelines using GCPnative services.
  • Develop and maintain data ingestion frameworks leveraging tools such as Pub/Sub, Dataflow, and Cloud Storage.
  • Implement data transformation pipelines using BigQuery, dbt, and Python-based workflows.
  • Ensure efficient handling of large-scale structured and unstructured datasets. Data Modeling & Architecture
  • Design and implement high-performance data models for cloud-based data lakes, data warehouses, and analytics platforms.
  • Optimize data schemas and partitioning strategies in BigQuery for performance and cost efficiency.
  • Support modern architectures such as medallion (bronze/silver/gold) layers and lakehouse patterns.

Development & Coding
  • Write advanced SQL queries for transformation, validation, and analytics.
  • Develop scalable data processing logic using Python and/or Apache Beam.
  • Build reusable, modular, and maintainable code for data workflows.

Data Quality, Observability & Reliability
  • Implement and maintain data quality checks, validation rules, and anomaly detection frameworks.
  • Enable data observability through monitoring, logging, and alerting mechanisms.
  • Ensure highly reliable data pipelines with fault tolerance and error handling strategies.

ETL/ELT Modernization
  • Support migration and modernization efforts from legacy ETL tools (e.g., Talend) to GCP-native ELT frameworks (dbt).
  • Optimize existing pipelines for performance, scalability, and maintainability in cloud environments.
  • Drive adoption of ELT best practices using BigQuery as the compute engine.

Collaboration & Stakeholder Engagement
  • Collaborate with data architects, business analysts, and machine learning teams to deliver trusted datasets.
  • Translate business requirements into scalable data solutions.
  • Provide technical guidance and support for downstream analytics and reporting use cases.

Best Practices & Governance
  • Drive adoption of best practices in cloud data engineering, CI/CD, and DevOps.
  • Implement secure data access controls using IAM roles, policies, and governance frameworks.
  • Follow standards for code quality, version control (Git), and automated deployments.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in data engineering or data platform development.
  • Hands-on experience with Google Cloud Platform (GCP) services:
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Storage
  • Strong proficiency in SQL and Python.
  • Experience with dbt (Data Build Tool) or similar ELT frameworks.
  • Experience building batch and streaming data pipelines.

Preferred Skills
  • Experience with Apache Beam or Spark.
  • Familiarity with Talend or other ETL tools and migration to cloud-native solutions.
  • Knowledge of data lakehouse architectures and modern data stack.
  • Experience with CI/CD tools (e.g., GitHub Actions, Cloud Build, Jenkins).
  • Understanding of data security, governance, and compliance standards.
  • Exposure to machine learning data pipelines and feature engineering.

Key Competencies
  • Strong problem-solving and analytical skills
  • Ability to work in cross-functional teams
  • Excellent communication and documentation skills
  • Focus on performance optimization and scalability
  • Attention to data quality and reliability

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