5669 Market Data Software Engineer jobs in Chicago,IL

Associate Engagement Lead - Analytics

ProcDNA

Chicago, IL 60290

TAG - The Aspen Group

Chicago, IL 60290

Aquent Talent

Chicago, IL 60290

Proven experience with Java/J2EE technologies, including the Java programming language, the Java Virtual Machine, Multi-Threaded Programming, and Unit Testing.
Solid experience writing complex SQL queries.
Bachelor's Degree in an Information Technology field or equivalent relevant experience.
Familiarity and experience using Maven, Jenkins, and Git for build automation and version control.
Minimum of 5 years of experience in software development.
Experience operating within Linux-based operating systems.
Proficiency with online technologies including Spring MVC, JavaScript, HTML, CSS, Ajax, Servlet/JSP, and Tomcat.
Extensive experience utilizing the Spring Framework for development.

Ryan Specialty

Chicago, IL 60606

6+ years of experience with Databricks
Bachelor's degree required
Subject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services.
Applicants must be authorized to work for any employer in the U.S.
Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview.
Proven experience in Tableau and BI Reporting, and strong skills in Automation and Process

Attune

Chicago, IL 60290

Benchmark Analytics

Chicago, IL 60290

Bunzl

Morton Grove, IL 60053

10+ years of hands-on software engineering experience, with strong depth across backend, frontend, APIs, and integrations.
Strong experience with modern application development and distributed systems.
Experience evaluating and recommending technology stacks in collaboration with engineering, security, and platform teams.
Proven experience building and supporting production systems in cloud environments
High school diploma or GED required.
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent professional experience.
Practical experience applying AI or AI-assisted tools in engineering or platform workflows (formal ML background not required).
Comfort working with security and compliance teams on approvals and production readiness.
Ability to work across both modern and legacy systems