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Data Structure Jobs in Chicago, IL (NOW HIRING)

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... structured and unstructured data • Analyze data structures and sources to define transformation logic and ensure data quality and consistency. • Implement data models and governance practices ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... structured and unstructured data • Analyze data structures and sources to define transformation logic and ensure data quality and consistency. • Implement data models and governance practices ...

Inspire11

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... structured and unstructured data • Analyze data structures and sources to define transformation logic and ensure data quality and consistency. • Implement data models and governance practices ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

... data structures would be beneficial. Skills and Experience: • A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems. • ...

JLL

Data Integration Specialist

Chicago, IL · On-site

This client-centric role requires someone who can understand property management data structures and anticipate client needs while delivering exceptional dataintegrationsolutions that exceed ...

Next Step Systems

Salesforce Technical Architect

Chicago, IL · On-site

$71 - $88/hr

The Salesforce Technical Architect will have the primary responsibility of optimizing our complex data structure, the technical design of our Salesforce and Litify system along with integration ...

TIAA

Data Architect - Sales & Marketing Technology

Chicago, IL · On-site

$65.75 - $84.50/hr

Supports integration of data from multiple structured and unstructured sources, including third-party intermediary data providers (e.g., Broadridge, Salesforce Asset Management Cloud feeds, DST, SS&C ...

Payline Data

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Company Description Payline Data creates solutions that deliver exceptional payment experiences ... structure and functional capabilities * Maintain database documentation and relationship diagrams.

Payline Data

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

Company Description Payline Data creates solutions that deliver exceptional payment experiences ... structure and functional capabilities * Maintain database documentation and relationship diagrams.

TIAA

Data Architect - Sales & Marketing Technology

Chicago, IL · On-site

$65.75 - $84.50/hr

Supports integration of data from multiple structured and unstructured sources, including third-party intermediary data providers (e.g., Broadridge, Salesforce Asset Management Cloud feeds, DST, SS&C ...

Kemper

Data Quality Engineer

Downers Grove, IL · Remote

$114K - $137K/yr

Integration and Monitoring Work with structured and semi-structured data formats (XML, JSON) and cloud-native services to validate data ingestion, transformation, and integration processes across ...

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Showing results 21-40

All JobsData Structure JobsData Structure Jobs in Chicago, IL

Data Structure information

See Chicago, IL salary details

$47.4K

$170.1K

$251K

How much do data structure jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data structure in Chicago, IL is $170,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,600.00 and $175,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Structure vs Data Analyst?

AspectData StructureData Analyst
Required CredentialsComputer Science degree, programming skillsStatistics, data analysis certifications, degree in related fields
Work EnvironmentSoftware development, programming, algorithm designBusiness, finance, marketing, data interpretation
Industry UsageSoftware engineering, computer scienceBusiness intelligence, marketing, finance

Data Structures focus on organizing and storing data efficiently within software applications, requiring programming skills and technical knowledge. Data Analysts interpret data to provide insights, often using statistical tools and working closely with business teams. While Data Structures are foundational for software development, Data Analysts apply data to solve business problems. Both roles are essential in data-driven industries but serve different purposes and skill sets.

What is a data structure?

A Data Structure job typically involves designing, implementing, and optimizing data storage and retrieval mechanisms in software applications. Professionals in this role work with different data structures like arrays, linked lists, trees, and graphs to improve the efficiency of algorithms. They are often employed in software development, data engineering, or system architecture roles, ensuring that data is managed efficiently for various applications. Strong problem-solving skills and proficiency in programming languages like Python, Java, or C++ are essential for success in this field.

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

To thrive as a Data Structures Engineer, you need a solid understanding of algorithms, programming languages (such as Java, C++, or Python), and a formal education in computer science or a related field. Familiarity with version control systems like Git, debugging tools, and experience with relevant libraries or frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you design efficient solutions and collaborate with other developers. These skills ensure robust, scalable software that meets performance requirements and supports business objectives.

What are some common challenges faced by professionals working with data structures in software development?

Professionals working with data structures often encounter challenges such as selecting the most efficient data structure for a specific application, optimizing memory usage, and ensuring code scalability as data volume grows. Collaboration with other team members, such as developers and data engineers, is essential to design robust solutions that balance performance and maintainability. Additionally, staying current with evolving algorithms and best practices helps address complex data manipulation tasks in real-world projects.
What are the most commonly searched types of Data Structure jobs in Chicago, IL? The most popular types of Data Structure jobs in Chicago, IL are:
What are popular job titles related to Data Structure jobs in Chicago, IL? For Data Structure jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Structure jobs in Chicago, IL look for? The top searched job categories for Data Structure jobs in Chicago, IL are:
Data Structure jobs near you
Infographic showing various Data Structure job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $170,127 per year, or $81.8 per hour.

Data Analyst

Spruce Infotech

Lake Forest, IL • On-site

Contractor

Re-posted 4 days ago

Job description

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate data migration and integration across systems.
Key Responsibilities
  • Gather, analyze, and document business and data requirements.
  • Perform source-to-target data mapping for data migration, integration, and reporting projects.
  • Analyze complex datasets to identify data quality issues, inconsistencies, and transformation requirements.
  • Create and maintain mapping documents, data dictionaries, and metadata repositories.
  • Work with business users to understand data elements, relationships, and business rules.
  • Validate data mappings and transformation logic through testing and reconciliation activities.
  • Collaborate with ETL developers, Data Engineers, and QA teams to ensure accurate implementation of mappings.
  • Conduct data profiling and data quality assessments.
  • Support data governance initiatives by documenting data lineage and business definitions.
  • Prepare reports, dashboards, and analytical insights as required.
Required Skills
  • 5+ years of experience as a Data Analyst.
  • Strong experience in Data Mapping and Source-to-Target Mapping (STM).
  • Proficiency in SQL for data analysis and validation.
  • Experience with data migration, data integration, and ETL processes.
  • Strong understanding of relational databases and data models.
  • Experience with data profiling and data quality analysis.
  • Ability to create detailed mapping specifications and functional documentation.
  • Excellent analytical, problem-solving, and communication skills.
Preferred Skills
  • Experience with ETL tools such as Informatica, Talend, SSIS, or DataStage.
  • Knowledge of cloud data platforms (AWS, Azure, or GCP).
  • Experience with BI tools such as Power BI, Tableau, or Looker.
  • Familiarity with data governance and master data management concepts.
Education
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.

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