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Backend Software Engineer - Reference Data Services Jobs

483 Job Offers

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.NET Developer
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United States , New York
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120000.00 - 175000.00 USD / Year
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Barclays
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Senior Software Engineer - FullStack
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India , Hyderabad
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Not provided
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Seismic
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Senior/Staff Software Consultant - Golang/C++
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Pakistan , Lahore, Karachi, Islamabad
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10Pearls
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Software Engineer
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United States
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70000.00 - 126000.00 USD / Year
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Karat
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Senior/Staff Software Consultant - Golang/C++
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Pakistan , Lahore; Karachi; Islamabad
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10Pearls
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Software Engineering Intern
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United States , Cambridge; Boston; NYC
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Suno
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Software Engineer, Infrastructure
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United States , Boston, NYC, San Francisco
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180000.00 - 225000.00 USD / Year
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Suno
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Infrastructure Software Engineer, Developer Platform
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Mexico
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Dropbox
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Senior Software Engineer - Backend
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India
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Fin Capital
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Staff Software Engineer, AI
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United States , Roseville; Austin; Lehi; Plano; San Mateo; West Palm Beach
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173000.00 - 200000.00 USD / Year
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GoodLeap
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Co-op Software Engineer, Android
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Canada , Vancouver; Kitchener
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Dialpad
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Staff Software Engineer - Backend
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United States , New York City
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240000.00 - 270000.00 USD / Year
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Sigma Computing
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Senior Software Engineer - Backend
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United States , San Francisco
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170000.00 - 215000.00 USD / Year
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Sigma Computing
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Senior Software Engineer - Backend
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United States , New York City
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170000.00 - 215000.00 USD / Year
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Sigma Computing
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Cloud Software Engineer Intern
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United States , San Mateo
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47.00 - 58.00 USD / Hour
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Skydio
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Senior Backend Developer
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India
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NorthBay
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Full-Stack Engineer
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United Kingdom; Ireland
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Spectrum Life
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Staff MLOps Engineer
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United States , Mountain View
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180000.00 - 280000.00 USD / Year
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Inworld AI
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Staff MLOps Engineer
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Canada , Vancouver
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190000.00 - 240000.00 CAD / Year
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Inworld AI
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Junior VB.NET Software Developer
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United States , Indianapolis
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Robert Half
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Explore Backend Software Engineer - Reference Data Services jobs and discover a critical role at the heart of financial and enterprise technology. Professionals in this specialization design, build, and maintain the robust systems that manage an organization's core reference data—the definitive master information on entities like financial securities, currencies, counterparties, and clients. This data is the foundational truth used across trading, risk management, compliance, and reporting, making accuracy, consistency, and low-latency access paramount. A Backend Software Engineer in this domain typically focuses on creating highly reliable and scalable data services. Common responsibilities include developing and optimizing APIs for data ingestion, distribution, and validation, ensuring data integrity across complex systems. They architect and manage databases, implement real-time and batch data processing pipelines, and build tools for data quality monitoring and reconciliation. A key aspect of the role involves collaborating closely with data architects, quant analysts, and front-office developers to understand data consumption needs and deliver solutions that meet stringent performance and regulatory requirements. Typical skills and requirements for these jobs include strong proficiency in backend programming languages such as Java, Python, or C#. Expertise in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB), messaging frameworks (Kafka, RabbitMQ), and cloud platforms (AWS, Azure, GCP) is highly valued. A solid understanding of data modeling, distributed systems, and microservices architecture is essential. These engineers must also possess strong problem-solving abilities to tackle challenges related to data consistency, latency, and high availability. Familiarity with financial instruments and reference data concepts, while sometimes learned on the job, is a significant advantage for candidates seeking these positions. For software engineers passionate about data integrity, system resilience, and building the infrastructure that powers critical business decisions, Backend Software Engineer - Reference Data Services jobs offer a challenging and impactful career path. Success in this field combines technical depth with an analytical mindset to ensure that clean, authoritative data flows seamlessly throughout the enterprise.

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