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Data Integration Analyst Jobs in Illinois (NOW HIRING)

Wintrust

Principal Data Architect

Rosemont, IL · On-site

Provide architectural analysis for data integrations including definition of standards for scalability, security, error handling, and auditing. * Lead the design and evolution of hybrid ...

Wintrust

Principal Data Architect

Rosemont, IL · On-site +1

Provide architectural analysis for data integrations including definition of standards for scalability, security, error handling, and auditing. * Lead the design and evolution of hybrid ...

RWE

Data Analytics Lead

Chicago, IL

Works cross-functionally across business units to unlock the value of data residing outside the core Salesforce platform by identifying integration opportunities, evaluating analytical use cases, and ...

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Job Summary The Lead Data Engineer is a hands-on technical leader responsible for designing, building, and operating enterprise-grade data integration and analytics platforms across the firm. This ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Build and optimize data pipelines and ETL workflows for efficient data processing and integration. Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.

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 ...

Langara

Senior Business Analyst

Campus, IL · On-site

$50.33 - $57.75/hr

Data integration, reporting and analytics solutions, data quality, data governance, and data classification practices. * Collaborate with technical teams to define integration requirements, data ...

New

Orison

Data Operations Lead

Chicago, IL · On-site

$125K/yr

Strong analytical and problem-solving abilities. * Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik)

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All JobsData Integration Analyst JobsData Integration Analyst Jobs in Illinois

Data Integration Analyst information

See Illinois salary details

$20.4K

$85.5K

$161.3K

How much do data integration analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data integration analyst in Illinois is $85,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $108,000.00 per year, depending on experience, location, and employer.

What is a data integration analyst?

A Data Integration Analyst is a professional who specializes in combining data from different sources to create a unified view for analysis and reporting. They work with various databases, applications, and data formats to ensure information flows seamlessly across systems. Their role often includes designing and maintaining data pipelines, troubleshooting integration issues, and ensuring data quality and consistency. Data Integration Analysts play a key role in helping organizations make informed decisions by providing accurate and comprehensive data.

What does a data integration analyst do?

As a data integration analyst, you perform a variety of duties related to improving and normalizing data. Your job duties include scrubbing data, writing testing scripts, performing quality control on data and data storage, and enabling data access. You ensure all computer programs are able to integrate collected data. A career as a data integration analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in information technology (IT) or a related field. You should have some prior work experience in IT, strong analytical problem-solving skills, and excellent attention to detail.

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

To thrive as a Data Integration Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), SQL, and data integration platforms is typically required, as well as knowledge of APIs and data warehousing solutions. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills that help in collaborating with diverse teams and stakeholders. These competencies are crucial for ensuring seamless data flow, accurate reporting, and strategic decision-making within organizations.

What are some common challenges faced by data integration analysts when working with disparate data sources?

Data Integration Analysts often encounter challenges such as inconsistent data formats, varying data quality, and incomplete documentation across different systems. Collaborating with IT, business stakeholders, and external vendors to understand source data and resolve discrepancies is a frequent part of the job. Managing these complexities requires strong problem-solving skills, attention to detail, and effective communication to ensure accurate and efficient data integration.

What is the difference between Data Integration Analyst vs Data Engineer?

AspectData Integration AnalystData Engineer
Required SkillsData analysis, SQL, ETL tools, data mappingProgramming (Python, Java), database architecture, data pipeline development
CertificationsSQL certifications, data management certificationsCloud certifications (AWS, GCP), programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData engineering teams, software development environments
Industry UsageFinance, healthcare, retailTechnology, finance, large-scale data platforms

While both roles involve working with data, Data Integration Analysts focus on consolidating and analyzing data from various sources using ETL tools and SQL. Data Engineers build and maintain the infrastructure and pipelines that enable data flow across systems. The roles often collaborate but differ in technical depth and scope.

More about Data Integration Analyst jobs

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For Data Integration Analyst jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Integration Analyst jobs in Illinois look for?

The top searched job categories for Data Integration Analyst jobs in Illinois are:

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Data Integration Analyst jobs near you
Infographic showing various Data Integration Analyst job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $85,517 per year, or $41.1 per hour.

Principal Data Architect

Wintrust

Rosemont, IL • On-site

Full-time

Re-posted 26 days ago

Wintrust rating

8.0

Company rating: 8.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

71st of 172 rated banks

Job description

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol "WTFC."
Job Title:
Principal Data Architect
Location:
Job location -Rosemont, IL- The position is based in Rosemont, IL, but remote work anywhere in the U.S. will be considered. 30 days of national travel is required.
Responsibilities:
The Principal Data Architect is a key position within the Data Management team, responsible for the design, development, test, and implementation of best-in-class Data Integration solutions using MuleSoft, Azure, Java, Automation tools like Ansible, Terraform etc for the organization. This architecture role will be engaged in all phases of the Data Integration lifecycle and will be called upon to mentor less experienced team members as necessary.
  • Design, develop and maintain data solutions using best practices.
  • Architect complex data integration solutions using modern practices like APIs, messaging buses, and event streaming platforms to connect disparate data sources.
  • Develop a long-term, reliable vision and roadmap for how data will be collected, stored, managed, and utilized across the entire organization to achieve business objectives.
  • Define and implement policies, procedures, and standards for data quality, consistency, security, and compliance (e.g., GDPR, HIPAA).
  • Lead the creation of conceptual, logical, and physical data models to illustrate how data elements relate to each other and guide database design.
  • Research, evaluate, and recommend appropriate data technologies, tools, and platforms (cloud-based or on-premise) that align with business needs and future scalability requirements.
  • Continuously monitor and optimize existing data infrastructure for performance, security, and cost-efficiency.
  • Design and implement robust CI/CD pipelines to automate the building, testing, and deployment of data solutions. This includes automating infrastructure provisioning using

Infrastructure as Code (IaC).
  • Provide architectural analysis for data integrations including definition of standards for scalability, security, error handling, and auditing.
  • Lead the design and evolution of hybrid infrastructure, blending cloud and on-premise systems into a unified, scalable, and reliable data platform.
  • Define and enforce data governance policies and security controls across all data and infrastructure, ensuring compliance with privacy regulations.
  • Building data ingestion and integration pipelines using tools like Apache Kafka or ETL technologies.
  • Assist in estimating and scoping of all data integration-related implementations.
  • Act as an agent of change, fostering a culture of cross-functional collaboration between data, development, and operations teams.
  • Design and build API security standards using Noname/Akamai.
  • Integrate different security solutions like Checkmarx using Azure CICD.
  • Analyze the requirements and prepare technical specifications and detail level design documents.
  • Drive the Design, Development & Deployment of data flows.
  • Implement DevOps Best practices for all data integrations, participate in all types of testing, including unit testing, point-to-point testing, end-to-end testing &UAT.
  • Support/enhance/create integrations to address business requirements, ensuring all related processes meets best-in-class standards offering high performance.
  • Designing, prototyping, and delivering API integration and applications in varied deployment models - cloud based on premise and hybrid.
  • Build continuous improvement process for complex data systems, tools & reports.
  • Serves as resource to internal, offshore team & third-party team members on escalated issues, analyzing and designing specifications for less experienced team members.
  • Pursues self-development and effective relationships with others by sharing resources, information, and knowledge with coworkers and customers. Seeks opportunities to deliver continuous process improvement.
  • Serves as a resource to internal, offshore MuleSoft & onsite Dev Platform engineering teams and third-party team members on escalated issues and analyzing & designing specifications for less experienced team members. Will supervise 2 employees (Advanced Dev Ops Engineers).

Requirements:
3 or 4 year Bachelor's degree in Computer Science, Engineering, Math, Computer Information Systems or a related field of study plus 7 years of experience in a related occupation. Employer will accept any suitable combination of education, training and/or experience.
The position also requires:
  • 7 years of experience with MuleSoft platform architecture and development.
  • 6 years of experience with IBM Integration Bus development and MQ Development.
  • 6 years of experience with Java development, Kafka and ETL.
  • 6 years of experience with Site Reliability Engineering and Infra as a code.
  • 6 years of experience with CheckMarx, Noname and API Security.
  • 5 years of experience with Kubernetes and OpenShift and Infra as a service.
  • 5 years of experience with Okta OR PING.
  • 5 years of experience with API gateway.
  • 3 years of experience with Azure CICD, Hashicorp OR Delinea Secrets.

Compensation
The salary for this role is $202,779.00, along with eligibility to earn an annual bonus.
From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

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