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Backend Software Engineer - Reference Data Services Jobs

486 Job Offers

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Backend Team/Tech Lead - In-house Financials
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Georgia , Tbilisi
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Not provided
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TradingView
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Software Engineer
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United States , Boston, NYC
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130000.00 - 180000.00 USD / Year
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Suno
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Senior Fullstack Product Software Engineer, Core Growth
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Canada
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190400.00 - 257600.00 CAD / Year
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Dropbox
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Senior Fullstack Product Software Engineer, Core Growth
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United States
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202700.00 - 274300.00 USD / Year
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Dropbox
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Sr Engineer, Software
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United States , Frisco; Austin
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113600.00 - 205000.00 USD / Year
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T-Mobile
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Senior Software Quality Engineer
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United States , San Jose
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90.00 - 95.00 USD / Hour
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MillenniumSoft Inc
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Software Engineer II - Backend
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India , Hyderabad
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Microsoft Corporation
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Fullstack Software Engineer
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France , Paris
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Alan
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Senior Manager, Software Engineering
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United States , Sunnyvale
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215000.00 - 220000.00 USD / Year
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Helpcare AI
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Senior Software Engineer - Database
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United States
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VAST Data
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Senior Software Engineer - Database
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United States
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VAST Data
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Senior Software Engineer Full-Stack
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United States , Lancaster
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Kodiak Robotics
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Software Engineer
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Austria , Vienna
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Sportradar
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Senior Software Engineer
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Austria , Vienna
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Sportradar
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Software Engineer (Backend focused)
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Germany , Berlin
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GetYourGuide
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Sr. Full-Stack Software Engineer
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United States , Seattle
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120000.00 - 140000.00 USD / Year
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Vue
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Senior Full Stack Software Engineer
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United States
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156000.00 - 185000.00 USD / Year
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Knock
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Staff Software Engineer, Flutter
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United States , Roseville; San Mateo; San Francisco; Irvine; Austin; Lehi; Plano; West Palm Beach
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173000.00 - 200000.00 USD / Year
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GoodLeap
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Software Engineering Manager, Consumer Solutions
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United States , Roseville; Austin; Lehi; Plano; West Palm Beach; San Mateo; Bentonville
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183000.00 - 213000.00 USD / Year
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GoodLeap
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Junior Full Stack Developer
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United States , Chantilly
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AnaVation
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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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