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As a Reference Data Engineer, you will design, build, and optimize data pipelines that acquire, transform, validate, and distribute critical financial reference data across business systems. You will play a key role in ensuring the accuracy, consistency, and availability of instrument, market, and counterparty data used in trading, risk, regulatory, and operational processes. Success in this role is measured by the reliability, scalability, and observability of data platforms, as well as the quality and timeliness of data delivered to downstream consumers. You will collaborate closely with engineering, product, operations, and data stakeholders to drive continuous improvements in data architecture and governance.
Reference Data Engineer
We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS?
As a Reference Data Engineer, you will design, build, and optimize data pipelines that acquire, transform, validate, and distribute critical financial reference data across business systems. You will play a key role in ensuring the accuracy, consistency, and availability of instrument, market, and counterparty data used in trading, risk, regulatory, and operational processes. Success in this role is measured by the reliability, scalability, and observability of data platforms, as well as the quality and timeliness of data delivered to downstream consumers. You will collaborate closely with engineering, product, operations, and data stakeholders to drive continuous improvements in data architecture and governance.
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Design, develop, and maintain scalable backend services and data pipelines using Java as the primary backend programming language.
Ingest, process, and integrate reference data from vendors, APIs, and internal platforms.
Normalize identifiers and attributes across multiple sources to create trusted, canonical datasets.
Implement automated data quality controls, validation frameworks, and reconciliation processes.
Monitor pipeline performance, troubleshoot incidents, and drive root-cause resolution to improve reliability.
Design and optimize relational database schemas, data models, and query performance.
Build observable systems with robust logging, alerting, monitoring, and operational support capabilities.
Manage end-to-end data lifecycle processes, including lineage, governance, auditing, and version control.
Partner with cross-functional teams to define and implement scalable data interfaces and schema evolution strategies.
Drive automation initiatives that improve data freshness, reduce manual intervention, and support operational excellence.
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice .
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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Global leader in financial technology and payment processing services.
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Senior · 6+ years experience
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