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Contract Graduate Data Engineer Jobs in Romeoville, IL

Co-Sourcing 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 ...

Eliassen Group

Lead Data Engineer

Chicago, IL · Hybrid

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... Define data handling standards and document trust boundaries, data contracts, lineage, and ...

1 point system

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Requirement - Sr. Data Engineer Location- Chicago, IL (Hybrid- 03 days onsite and 02 days remote) Contract W2 PURPOSE : The Senior Data Engineer will design, code, test, and analyze software programs ...

IT Labs

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Contract or B2B arrangement Our values We are a company that seeks the best for both our employees ...

Sidley

Senior Data Engineer - Quality

Chicago, IL · Hybrid

$100K - $150K/yr

The Senior Data Engineer - Quality is a hands-on technical role responsible for designing and ... Knowledge of data contracts and schema evolution strategies * Experience with test data management ...

JLL

Staff Data Engineer

Chicago, IL · On-site

... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ... Data Engineering Build and deploy AI-powered features and pipelines that automate workflows ...

JLL

Staff Data Engineer

Westmont, IL · On-site

... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ... Data Engineering Build and deploy AI-powered features and pipelines that automate workflows ...

JLL

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ... Data Engineering Build and deploy AI-powered features and pipelines that automate workflows ...

JLL

Senior Data Engineer

Westmont, IL · On-site

$106K - $144K/yr

... contracts, and solution briefs Rapid Prototyping & Solution Delivery Design and deliver working ... Data Engineering Build and deploy AI-powered features and pipelines that automate workflows ...

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Showing results 1-20

All JobsContract Graduate Data Engineer JobsContract Graduate Data Engineer Jobs in Romeoville, IL

Contract Graduate Data Engineer information

See Romeoville, IL salary details

$45.4K

$132.3K

$181K

How much do contract graduate data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for contract graduate data engineer in Romeoville, IL is $132,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and learning opportunities for a Contract Graduate Data Engineer?

As a Contract Graduate Data Engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming datasets, and assisting with data integration projects. You will often collaborate closely with data scientists, analysts, and senior engineers, giving you exposure to best practices in data architecture and analytics. The contract nature of the role offers the chance to quickly gain experience across different tools and technologies, which can be valuable for career growth. While you may face challenges adapting to fast-paced project timelines, you'll also benefit from mentorship and hands-on learning opportunities in a supportive team environment.

What are Contract Graduate Data Engineers?

Contract Graduate Data Engineers are early-career professionals who work on a temporary or project basis to help organizations manage, process, and analyze data. They typically have recently completed a degree in a relevant field, such as computer science, data science, or engineering. Their responsibilities may include building data pipelines, supporting data infrastructure, and working closely with data scientists and analysts. Contract roles allow graduates to gain hands-on experience, develop technical skills, and explore different industries while contributing to data-driven projects.

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

To thrive as a Contract Graduate Data Engineer, you generally need a degree in computer science, mathematics, or a related field, as well as foundational knowledge in data structures, algorithms, and database management. Familiarity with programming languages like Python or SQL, experience with data processing tools such as Apache Spark, and knowledge of cloud platforms like AWS or Azure are commonly required. Strong problem-solving skills, effective communication, and adaptability are crucial soft skills for collaborating with teams and handling evolving project needs. These skills and qualities ensure accurate data handling, efficient workflow integration, and the ability to deliver valuable insights in dynamic contract-based environments.
What are popular job titles related to Contract Graduate Data Engineer jobs in Romeoville, IL? For Contract Graduate Data Engineer jobs in Romeoville, IL, the most frequently searched job titles are:
What cities near Romeoville, IL are hiring for Contract Graduate Data Engineer jobs? Cities near Romeoville, IL with the most Contract Graduate Data Engineer job openings:
Contract Graduate Data Engineer jobs near you
Infographic showing various Contract Graduate Data Engineer job openings in Romeoville, IL as of July 2026, with employment types broken down into 1% As Needed, 64% Full Time, 20% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $132,260 per year, or $63.6 per hour.
GCP Data Engineer

GCP Data Engineer

Co-Sourcing Partners

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Posted 14 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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