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Tier-1 brand, generic mid-level backend title, metro location, and broad skills drive high competition.
Core backend and API skills transfer across industries, though financial data platform experience increases specificity.
Explicit 3+ years plus mandatory Python/C++ and backend/data-infra skills indicate high shortlisting strictness.
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Design, develop, and deploy the Data Access interface that serves as the unified client entry point to FactSet Intelligence Platform.
Ensure query patterns, APIs, and enforcement of data entitlements balance flexibility, security, and performance at scale.
Own Data Access products focusing on reliability, observability, performance optimization, and scalability improvements.
Bachelor's Degree or equivalent in Computer Science or related field.
3+ years software engineering experience focusing on API development, query systems, or data infrastructure.
Strong proficiency in Python and C++ with experience building production-grade client-facing systems.
Experience with OOP principles, software design patterns, and API orchestration across multiple backend systems.
Experienced in designing and operating low-latency, high-availability distributed systems with focus on scalability and performance.
Familiar with query engine architectures, caching strategies, and service-oriented/microservices designs.
Able to work independently and collaboratively in a cross-functional environment, supporting production systems including on-call duties.