Reference Data Engineer(Java, Data Pipelines)

Position Type

Full time

Type Of Hire

Experienced (relevant combo of work and education)

Job Title

Reference Data Engineer

Intro

We are FIS. Our technology powers the worlds 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 youre ready to start learning, growing and making an impact with a career in fintech, wed like to know~ Are you FIS

About The Role

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.

What You Will Be Doing

Design, develop, and maintain scalable backend services and data pipelines using Java as the primary backend programming languageIngest, process, and integrate reference data from vendors, APIs, and internal platformsNormalize identifiers and attributes across multiple sources to create trusted, canonical datasetsImplement automated data quality controls, validation frameworks, and reconciliation processesMonitor pipeline performance, troubleshoot incidents, and drive root-cause resolution to improve reliabilityDesign and optimize relational database schemas, data models, and query performanceBuild observable systems with robust logging, alerting, monitoring, and operational support capabilitiesManage end-to-end data lifecycle processes, including lineage, governance, auditing, and version controlPartner with cross-functional teams to define and implement scalable data interfaces and schema evolution strategiesDrive automation initiatives that improve data freshness, reduce manual intervention, and support operational excellence

Required Qualifications

Bachelors degree in Computer Science, Engineering, Information Systems, or equivalent practical experience6 to 11 years of software engineering experience, with strong expertise in Java backend developmentProven experience building and supporting enterprise-scale data processing systems and pipelinesExperience integrating third-party data vendors, APIs, and external data servicesStrong knowledge of structured and semi-structured data formats, including JSON, XML, and CSVHands-on experience with relational databases such as PostgreSQL, including schema design, data modeling, and performance optimizationExperience implementing data validation, reconciliation, monitoring, and quality assurance frameworksStrong understanding of software engineering best practices, including testing, code quality, CI/CD, and operational ownershipExcellent problem-solving, collaboration, and communication skills with a focus on delivering reliable production systems

Preferred Qualifications

Experience with Clojure and functional programming conceptsFamiliarity with financial reference data domains, including instrument identifiers, market codes, legal entities, and counterparty dataExperience working with cloud platforms such as AWS or Microsoft AzureKnowledge of distributed systems, event-driven architectures, and data integration patternsExperience building highly available, resilient, and observable data platforms in regulated environmentsUnderstanding of regulatory, risk, or capital markets data workflows

What We Offer You

At FIS, you can grow your career as far as you want to take it. Heres what else we offer~

Opportunities to make an impact in fintech

Personal and professional learning

Inclusive, diverse work environment

Resources to give back to your community

Competitive salary and benefits.

Privacy Statement

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.

Sourcing Model

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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