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# Reference Data Software Engineer

- **Company:** BIP US
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Common Lisp Object Systems, Databases, Relational Databases, Database Development, Entity Relationship Models, Graph Database, Python (Programming Language), Reference Data, Software Tools, Standard Sql, Software Engineering, Systems Integration, Data Processing, Enterprise Software Applications, Large Language Models, Snowflake, Caching, Data Management, Api Design, Microservices
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/9a9b69af-3dc6-4e52-943a-f9fdca680669/reference-data-software-engineer

## About the Role

We are seeking a hands-on Reference Data Software Engineer with 5+ years of professional software engineering experience to develop and enhance enterprise reference data platforms supporting investment-management and front-office workflows., The ideal candidate brings strong hands-on C#/.NET and Python development experience, solid server-side engineering capabilities, and experience working with APIs, microservices, messaging, caching, databases, and data-processing components. Experience with securities, reference data, security master, or investment data is highly valuable., * 5+ years of professional software engineering experience, with hands-on experience building enterprise applications, data platforms, or server-side systems.
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 * Strong hands-on development experience with C#/.NET and Python.
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 * Solid server-side/middle-tier engineering experience, including APIs, microservices, messaging, caching, and system integrations.
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 * Experience developing data-processing components involving ingestion, transformation, cleansing, validation, or enrichment.
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 * Strong SQL and database development skills.
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 * Experience with relational databases; exposure to graph, object, or other database technologies is beneficial.
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 * Experience implementing data models and working with complex data relationships.
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 * Experience working with Reference Data, Security Master, Master Data Management, securities data, or comparable enterprise data domains.
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 * Understanding of securities and investment data, ideally including exposure to credit instruments such as loans, bonds, or CLOs.
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 * Experience within asset management, investment management, capital markets, banking, or financial services.
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 * Experience working in cloud-based engineering environments; Azure experience is particularly relevant.
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 * Practical experience using AI-assisted engineering tools, coding assistants, or LLM-based development technologies.
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 * Strong analytical and problem-solving skills with the ability to understand requirements and execute against defined technical designs.
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 * Strong communication skills and ability to collaborate effectively with engineers, analysts, PMs, and business stakeholders.
\n, * Experience with Security Master or Reference Data platforms.
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 * Familiarity with security identifiers such as CUSIP, ISIN, SEDOL, and FIGI.
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 * Experience with identifier mapping, cross-reference processing, golden records, or entity resolution.
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 * Exposure to corporate actions and their impact on security/reference data.
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 * Experience with private credit, private equity, alternative assets, or broader private-markets data.
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 * Hands-on experience with Azure and/or Snowflake.
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 * Experience with graph databases or complex issuer/security/legal-entity relationship models.
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 * Experience with messaging-driven or event-driven applications.
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 * Experience applying AI tools to software development, data quality, entity matching, or engineering productivity.