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Contract Graduate Data Engineer Jobs in Chicago, IL

Eliassen Group

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The engineer will build observability and operational tooling, troubleshoot distributed systems ... Document trust boundaries, data contracts, lineage, and permitted data movement between zones.

Deloitte

Senior Data Engineer

Arlington Heights, IL · Hybrid

$106K - $144K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering standards - naming ...

Jones Lang LaSalle IP, Inc.

Senior Data Engineer

Westmont, IL · On-site

$106K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Engineering team at JLL sits at the intersection of technology and business impact ... maps, API contracts, and solution briefs Rapid Prototyping & Solution Delivery • Design and ...

Deloitte

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering standards - naming ...

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Document trust boundaries, data contracts, lineage, and permitted data movement. * Support audits ... Contribute to engineering standards for secure data processing and trusted platform operations.

Eliassen Group

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Document trust boundaries, data contracts, lineage, and permitted data movement. * Support audits ... Contribute to engineering standards for secure data processing and trusted platform operations.

Deloitte

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering standards - naming ...

Publicis Groupe Holdings B.V

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

... detail-oriented Data Engineer to join our growing data team. The ideal candidate will be ... This document does not create an employment contract, implied or otherwise, other than an ""at-will ...

Whiztek Corp

Senior Data Engineer (Apache Flink)

Chicago, IL · On-site

$118K - $141K/yr

About the Role We're looking for an experienced data engineer to design, build, and operate our ... contracts * Build and optimize Apache Flink streaming jobs (Java or Scala) for real-time ...

Zoro

Sr. Software Engineer, Data Products

Chicago, IL

$118K - $141K/yr

This is a software engineering role in the data domain. You will build APIs, backend services ... Design clear interfaces, service boundaries, schemas, and data contracts. * Write modular, testable ...

Akuna Capital

Software Engineer - Data Engineering

Chicago, IL · On-site

$145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

What you'll do as a Software Engineer on the Data Engineering team at Akuna: We are a data-driven ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

Akuna Capital

Software Engineer - Data Engineering

Chicago, IL

$145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

What you'll do as a Software Engineer on the Data Engineering team at Akuna: We are a data-driven ... If you are a current student or recent graduate, please take a look at our Entry Level and Intern ...

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Showing results 21-40

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

Contract Graduate Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

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

As of Aug 14, 2026, the average yearly pay for contract graduate data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 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 is a contract graduate data engineer?

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 the most commonly searched types of Graduate Data Engineer jobs in Chicago, IL?

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

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For Contract Graduate Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:

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Contract Graduate Data Engineer jobs near you

Sr. Big Data Engineer

Eliassen Group

Chicago, IL • On-site

$84 - $94/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago

Job description

Description:Hybrid at least 2 days per week in office in Chicago, IL

Our client seeks a Staff Data Engineer to set technical direction for large-scale data processing in a privacy-preserving attribution platform. The role will architect and operate secure pipelines across cloud environments, collaborate with cross-functional teams, implement governance and access controls, and drive architecture for batch and streaming workflows. The engineer will build observability and operational tooling, troubleshoot distributed systems, mentor senior engineers, and evolve attribution, measurement, forecasting, and analytics capabilities with strong security and compliance alignment.

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $84.00 to $94.00/hr. w2

Responsibilities:
  • Set technical direction for large-scale data processing solutions using Scala, Spark, SQL, and modern data platforms across the attribution ecosystem.
  • Architect and operate trusted pipelines handling advertiser, customer, and measurement datasets within secure cloud environments and approved data-sharing ecosystems.
  • Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving attribution, measurement, forecasting, and analytics solutions.
  • Define architecture for batch and streaming workflows, including orchestration frameworks and cloud-native services.
  • Implement data classification, access controls, and privacy-preserving processing techniques to meet security and compliance requirements.
  • Establish architectural direction for clean-room and trusted data-sharing environments with approved aggregated or privacy-protected outputs.
  • Build observability, monitoring, and operational tooling to ensure reliability, performance, and compliance.
  • Troubleshoot complex platform, performance, and pipeline issues across distributed systems.
  • Drive architecture decisions, engineering best practices, and operational excellence across attribution and adjacent data products.
  • Mentor and grow senior and lead engineers and provide technical leadership across teams and product areas.
  • Design and implement pipelines within trusted environments across AWS, GCP, Azure, and on-premises infrastructure.
  • Implement access controls, data classification policies, lineage tracking, and governance controls for sensitive data.
  • Define and maintain data handling standards with Security, Privacy, and Compliance stakeholders.
  • Enforce privacy-preserving principles to ensure only aggregated, anonymized, tokenized, or otherwise approved outputs leave trusted environments.
  • Build monitoring and alerting to detect anomalous movement, policy violations, and potential leakage.
  • Apply privacy-preserving computation techniques, including aggregation-before-export, pseudonymization and tokenization, differential privacy concepts, and privacy-aware reporting.
  • Implement encryption, key management, and secure data handling using cloud-native services.
  • Document trust boundaries, data contracts, lineage, and permitted data movement between zones.
  • Support audits, compliance requirements, governance reviews, and secure data-sharing initiatives.
  • Participate in architecture and design reviews for new data products to incorporate governance, privacy, lineage, and trust-boundary requirements.
  • Contribute to engineering standards and best practices for secure data processing and privacy-preserving analytics.
Experience Requirements:
  • 10+ years of data engineering with deep Scala and extensive Apache Spark for large-scale processing on AWS and/or GCP.
  • Strong Python for pipelines, tooling, automation, and infrastructure modules.
  • Advanced SQL across relational, cloud warehouses, and lakehouse platforms with TB-scale datasets.
  • Designing, building, and maintaining batch and streaming pipelines.
  • Strong understanding of warehousing, dimensional modeling, data quality, partitioning, and performance optimization.
  • Experience with lakehouse architectures such as Databricks, Delta Lake, or equivalent.
  • Operating distributed data platforms at scale.
  • Workflow orchestration with Airflow, Databricks Workflows, AWS Step Functions, or equivalent.
  • Source control and testing practices including unit, integration, and automation.
  • Cloud-native development on AWS and/or GCP.
  • Strong engineering practices including CI/CD, code reviews, observability, and production support.
  • Proven ability to set technical direction across teams and mentor senior engineers.
  • Trusted environment execution: clean rooms and secure data-sharing platforms, handling PII and regulated data, fine-grained access controls, and policy-based enforcement.
  • Working knowledge of data classification frameworks including PII, PCI, regulated data, and sensitivity-tier models.
  • Familiarity with tokenization, pseudonymization, aggregation-before-export, and differential privacy concepts.
  • Experience with clean-room, measurement, attribution, audience analytics, partner data-sharing, or privacy-preserving reporting.
  • Lineage and governance tooling such as Unity Catalog, AWS Glue Data Catalog, Apache Atlas, or OpenLineage.
  • Understanding of trust boundaries, secure sharing patterns, and zero-trust data architecture principles.
  • Documenting data contracts, flows, lineage, and permitted movement between security zones and domains.
  • Encryption, key management, and secure handling using cloud-native security services.
  • Designing observability and alerting controls to detect anomalous movement, policy violations, and potential leakage.
  • Experience in environments where only aggregated, anonymized, tokenized, or privacy-protected outputs may exit trusted processing environments.
  • Strong understanding of cloud-native security and governance.
  • Good to have: Databricks ecosystem, AWS Clean Rooms, advertising measurement and attribution platforms, collaboration with Security and Compliance in regulated settings, ELK, Grafana, OpenTelemetry, Docker, Kubernetes, and security architecture or threat modeling.
  • Strong written and verbal English communication skills.
  • Good understanding of Agile and SCRUM within cross-functional teams.
Recruitment Transparency Notice
 
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.
 

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com.

 
About Eliassen Group:
 
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
 
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
 
Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
 
Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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