ZipRecruiter

Log In

1

Data Integration Jobs in Illinois (NOW HIRING)

Cloud BC Labs

Data Architect

Naperville, IL · On-site

$63.75 - $82/hr

The ideal candidate will have expertise in data modeling, cloud data platforms, data integration, governance, and modern data architectures. Key Responsibilities * Design enterprise data architecture ...

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Enterprise Data Integration & Pipelines: Design, build, and maintain robust ETL/ELT pipelines that integrate data from core firm systems (finance, HR, CRM, document management, and other enterprise ...

Lurie Children's Hospital of Chicago

Data Architect I

Chicago, IL · Hybrid

$93K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The projects will involve integrating data among EPIC, departmental repositories, research data, legacy and external repositories in the hospital's hybrid (on-premises and cloud) data environment.

Novocure

Data Architect

Chicago, IL

$66 - $85/hr

Develop enterprise data models, integration patterns, and architecture standards that support operational and analytical workloads * Lead architecture decisions related to data governance, quality ...

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

Perform source-to-target data mapping for data migration, integration, and reporting projects. * Analyze complex datasets to identify data quality issues, inconsistencies, and transformation ...

Lurie Children's

Data Architect I (Grant Funded)

Chicago, IL · On-site

$93.60 - $154.44/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The projects will involve integrating data among EPIC, departmental repositories, research data, legacy and external repositories in the hospital's hybrid (on-premises and cloud) data environment.

Saicon Consultants Inc.

Data Analyst

Rosemont, IL · On-site

Aladdin Data Integration Flows: * Analyze and support inbound/outbound data flows to/from Aladdin. * Understand integrations with trading platforms, custodian systems, and market data providers ...

Scigon Solutions

Data Architect

Naperville, IL · On-site

$135K - $180K/yr

Extensive knowledge of ETL/ELT design, data integration, transformation frameworks, and pipeline orchestration. * Hands-on experience with programming and scripting languages commonly used for data ...

SCIGON

Data Architect

Naperville, IL · On-site

$140 - $190/hr

Extensive knowledge of ETL/ELT design, data integration, transformation frameworks, and pipeline orchestration. * Hands-on experience with programming and scripting languages commonly used for data ...

Stantec

Senior Data Architect

Chicago, IL · On-site

$69.25 - $92.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... This will involve enhancing and integrating several existing applications [and possibly building ...

3B Staffing LLC

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Integrates data from different sources, including databases, data warehouses, APIs, and external systems * Ensures data consistency and integrity during the integration process, performing data ...

New

previous pagenext page

Showing results 21-40

All JobsData Integration JobsData Integration Jobs in Illinois

Data Integration information

See Illinois salary details

$10

$50

$81

How much do data integration jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data integration in Illinois is $50.08, according to ZipRecruiter salary data. Most workers in this role earn between $42.16 and $56.39 per hour, depending on experience, location, and employer.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management tools, ETL (Extract, Transform, Load) processes, and programming languages like SQL, Python, or Java is essential. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can also enhance job prospects.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What does data integration do?

Data integration involves combining data from different sources into a unified view, enabling organizations to analyze and use the data more effectively. Data integration specialists use tools like ETL (Extract, Transform, Load) processes and data warehouses to ensure data consistency, accuracy, and accessibility across systems.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

What are the most commonly searched types of Data Integration jobs in Illinois? The most popular types of Data Integration jobs in Illinois are:
What are popular job titles related to Data Integration jobs in Illinois? For Data Integration jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Integration jobs in Illinois look for? The top searched job categories for Data Integration jobs in Illinois are:
Data Integration jobs near you
Infographic showing various Data Integration job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 4% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $104,171 per year, or $50.1 per hour.

Data Architect

Cloud BC Labs

Naperville, IL • On-site

$63.75 - $82/hr

Full-time

Posted 21 days ago

Job description

Job Title : Data Architect
Location : Naperville, IL
Term : C2C/W2
Job Summary
We are seeking an experienced Data Architect to design, implement, and govern enterprise data architecture that supports business intelligence, analytics, AI/ML, and operational applications. The ideal candidate will have expertise in data modeling, cloud data platforms, data integration, governance, and modern data architectures.
Key Responsibilities
  • Design enterprise data architecture, data models, and database solutions.
  • Develop conceptual, logical, and physical data models.
  • Define enterprise data standards, governance, and best practices.
  • Design scalable data lakes, data warehouses, and lakehouse architectures.
  • Work closely with business stakeholders, data engineers, analysts, and application teams.
  • Design ETL/ELT data pipelines and integration strategies.
  • Ensure data quality, security, privacy, and compliance.
  • Optimize database and cloud data platform performance.
  • Evaluate and recommend new technologies and architecture improvements.
  • Support cloud migration and modernization initiatives.
  • Establish metadata management, master data management (MDM), and data lineage.
  • Mentor technical teams on architecture standards and best practices.
Required Skills
  • Strong experience in Data Architecture
  • Data Modeling (Conceptual, Logical & Physical)
  • Data Warehousing
  • Data Lake / Lakehouse Architecture
  • SQL
  • ETL/ELT Architecture
  • Cloud Platforms (AWS, Azure, or GCP)
  • Snowflake, Databricks, Redshift, Synapse, or BigQuery
  • Data Governance
  • Metadata Management
  • Master Data Management (MDM)
  • Data Quality Frameworks
  • Database Design (Oracle, SQL Server, PostgreSQL, MySQL)
  • Performance Tuning
  • API & Data Integration
  • Agile/Scrum methodology
Preferred Skills
  • Python or Java
  • Spark / PySpark
  • Kafka
  • Terraform
  • Docker & Kubernetes
  • DevOps / CI-CD
  • AI/ML Data Platforms
  • Data Mesh
  • Data Fabric
  • Informatica / Collibra / Alation
  • Microsoft Purview
Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • Master's degree preferred.
Experience
  • 10-15+ years in Data Engineering, Data Architecture, or Enterprise Data Management.
  • Experience designing enterprise-scale data platforms.
  • Hands-on experience with cloud-native data solutions.
  • Experience with large-scale structured and unstructured data.
Nice to Have
  • TOGAF Certification
  • AWS/Azure/GCP Cloud Certification
  • Snowflake Certification
  • Databricks Certification
  • DAMA/CDMP Certification

Apply