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# Senior Reference Data Engineer

- **Company:** BIP US
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Common Lisp Object Systems, Databases, Information Engineering, Relational Databases, Distributed Systems, Graph Database, Python (Programming Language), Enterprise Messaging Systems, Reference Data, Software Engineering, Enterprise Data Management, Data Processing, Large Language Models, Snowflake, Caching, Agentic-AI, Data Management, Static Data, Api Gateway, Microservices
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/2821edfa-7f46-44ad-93a4-79ac0d06fe3c/senior-reference-data-engineer

## About the Role

We are seeking a hands-on Senior Reference Data Tech Lead with 8+ years of professional software engineering experience to design, architect, and enhance enterprise reference data platforms supporting investment-management and front-office workflows., * 8+ years of professional software engineering experience, with substantial hands-on experience building enterprise data and server-side platforms.
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 * Proven experience architecting and/or building reference data systems, specifically security master and/or organization static data master platforms.
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 * Strong hands-on development experience in C#/.NET and Python, with the ability to design and deliver production-quality services and data-processing components.
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 * Deep server-side engineering experience with microservices architecture, messaging platforms, API gateways, caching technologies, and distributed system integration patterns.
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 * Strong data engineering capabilities, including pipeline design, ingestion, transformation, cleansing, augmentation, validation, governance, and database-level development.
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 * Strong data modeling expertise with experience designing reference data structures that balance normalization, performance, governance, and downstream consumption needs.
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 * Experience working across multiple database technologies, including relational databases plus at least one of graph or object databases.
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 * Experience designing golden-record, cross-reference, hierarchy, and relationship models for securities, issuers, legal entities, or comparable master-data domains.
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 * Working domain knowledge of securities and investment data, with particularly strong understanding of credit instruments such as loans, bonds, CLOs, or similar products.
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 * Experience working within asset management, investment management, capital markets, or a similarly data-intensive financial services environment.
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 * Experience with cloud-based engineering environments; Azure and related technologies are strongly relevant to the target environment.
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 * Demonstrated cloud-first and AI-first engineering mindset, including practical use of agentic coding tools, LLMs, or AI-assisted development technologies.
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 * Track record operating as a technical lead in an individual contributor capacity, including architecture ownership, technical decision-making, and cross-functional collaboration rather than people management.
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 * Strong delivery ownership with the ability to remain hands-on while setting technical direction and engineering standards.
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 * Excellent communication skills and the ability to work effectively with business analysts, developers, PMs, and business users.
\n, * Experience with security identifiers such as CUSIP, ISIN, SEDOL, and FIGI, including identifier mapping and cross-reference processes.
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 * Experience supporting corporate actions processing and its impact on security master or reference data platforms.
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 * Private credit, private equity, alternative asset, or broader private-markets data experience.
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 * Hands-on experience with Azure and modern cloud data platforms or warehouses such as Snowflake.
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 * Experience with graph databases and complex hierarchy or relationship modeling for issuers, securities, organizations, or legal entities.
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 * Background in entity resolution, golden-record matching, data-quality automation, or AI-powered data-quality tooling.
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 * Experience building or supporting messaging-driven or event-driven reference data architectures.
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 * Experience in establishing engineering standards and modern development practices within complex enterprise data platforms.

## Description

The ideal candidate brings deep C#/.NET and Python experience, strong data modeling and data engineering skills, and expertise with microservices, messaging platforms, API gateways, caching technologies, and multiple database paradigms including relational and graph or object databases., The role requires strong domain fluency in securities and reference data, particularly credit instruments-and a cloud-first, AI-first engineering mindset. The engineer will partner closely with business analysts, Portfolio Management, technology teams, and business users to build strategic, robust, and performant reference data solutions.