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Data Engineer Contract Jobs in Romeoville, IL (NOW HIRING)

System One

Data Architect- Wealth Management

Naperville, IL · On-site

$63.75 - $82/hr

Data Architect Wealth Management Duration : 6+ Months Contract Location : Naperville IL Work Mode ... Guide data engineering teams on implementation, review designs, and ensure alignment with the ...

New

System One

Data Architect- Wealth Management

Naperville, IL · On-site

$63.25 - $81.25/hr

Data Architect Wealth Management Duration : 6+ Months Contract Location : Naperville IL Work Mode ... Guide data engineering teams on implementation, review designs, and ensure alignment with the ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Requirement - Senior Data Scientist Location- Chicago, IL-Remote Contract W2 Updated JD PURPOSE ... engineering logic using structured and unstructured claims and incident data. • Apply NLP and ...

1 point system

Senior Data Scientist

Chicago, IL · Remote

Job Title Senior Data Scientist Location Remote Type of Hire 4 months contract They strictly want ... engineering logic using structured and unstructured claims and incident data. • Apply NLP and ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... EDUCATION: Master's degree in computer science, statistics, industrial engineering, or related ...

Tempus

Software Engineer II, Data Solutions

Chicago, IL · On-site

$100K - $145K/yr

As a Software Engineer II specializing in Edge Data Platform at Tempus, you will contribute to the ... You value the importance of defining data contracts, and have experience writing specifications ...

Tempus

Software Engineer II, Data Solutions

Chicago, IL

$100K - $145K/yr

As a Software Engineer II specializing in Edge Data Platform at Tempus, you will contribute to the ... You value the importance of defining data contracts, and have experience writing specifications ...

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All JobsData Engineer Contract JobsData Engineer Contract Jobs in Romeoville, IL

Data Engineer Contract information

See Romeoville, IL salary details

$45.4K

$132.3K

$181K

How much do data engineer contract jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data engineer contract 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 daily responsibilities of a Data Engineer on a contract basis?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the Data Engineer Contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a Data Engineer Contract job?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Romeoville, IL? The most popular types of Data Engineer jobs in Romeoville, IL are:
What are popular job titles related to Data Engineer Contract jobs in Romeoville, IL? For Data Engineer Contract jobs in Romeoville, IL, the most frequently searched job titles are:
What cities near Romeoville, IL are hiring for Data Engineer Contract jobs? Cities near Romeoville, IL with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Data Architect- Wealth Management

Data Architect- Wealth Management

System One

Naperville, IL • On-site

$63.75 - $82/hr

Contractor

Posted 2 days ago

New

Job description

Job Title: Data Architect Wealth Management Duration : 6+ Months Contract Location : Naperville IL Work Mode : Hybrid Position Description Join a collaborative Data & Analytics team building a modern, cloud-native data platform on AWS. In this hands-on architecture role, you will shape the data foundations that power Wealth Management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. Responsibilities

  • Design and maintain the end-to-end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS.
  • Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships.
  • Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization.
  • Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage.
  • Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks.
  • Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data.
  • Guide data engineering teams on implementation, review designs, and ensure alignment with the target architecture.
  • Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability.
  • Support real-time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms.
  • Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases.
Required Skills
  • 10–12 years of experience in Data Engineering/Data Architecture, with significant experience in Banking & Financial Services.
  • Demonstrated experience in Wealth Management or closely related domains (Asset Management, Private Banking, or Brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data.
  • Proven experience designing and implementing large-scale AWS-based data platforms.
  • Strong expertise in data modeling, including Dimensional Modeling, Data Vault, and Normalized (3NF) approaches.
  • Deep experience with Data Lake/Lakehouse and Data Warehouse architecture, including ETL/ELT design.
  • Strong understanding of Data Governance, Data Quality, Metadata Management, and Data Lineage in regulated environments.
  • Experience handling sensitive data with security, privacy, and compliance controls.
  • Excellent stakeholder management and communication skills, with the ability to present architectural decisions to both technical and non-technical audiences.
  • Hands-on experience with AWS services:
    • S3
    • Redshift
    • EMR
    • Athena
    • Glue
    • Lake Formation
    • Parquet
    • Iceberg or Delta Lake
  • Experience with Streaming and Serverless technologies:
    • Kinesis
    • MSK (Managed Kafka)
    • Lambda
    • Step Functions
    • MWAA (Managed Airflow)
  • Database experience:
    • Amazon RDS
    • Aurora
    • DynamoDB
  • Security:
    • IAM
    • KMS
    • Encryption at Rest/In Transit
    • Fine-Grained Access Control
  • Infrastructure as Code:
    • CloudFormation and/or Terraform
  • Strong SQL and Python programming skills.
  • Experience with BI tools such as QuickSight, Tableau, or Power BI.
Nice-to-Have Skills
  • AWS Certifications (AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect, etc.)
  • TOGAF or other Enterprise Architecture framework experience.
  • Experience with Data Catalog and Governance tools such as Collibra or Alation.
  • Familiarity with market data providers such as Bloomberg or Refinitiv.
  • Experience with Portfolio Accounting and Performance Management platforms.
  • Exposure to Machine Learning and Advanced Analytics enablement.
  • Experience implementing Data Mesh or Domain-Oriented Data Architecture.
  • Knowledge of regulatory frameworks and reporting requirements within Wealth Management.
Ref: #404-IT Pittsburgh