AlphaSense · Posted 8d ago
Staff Quality Engineer (Reference Entity Data Services (REDS))
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 United States
- Contract
- Full-time
- Role
- Data engineering
- Source
- Stapply Data
The posting
Join AlphaSense as a Staff Quality Engineer dedicated to Reference Entity Data Services (REDS). In this role, you will define and implement the quality strategy for AlphaSense's company reference data, ensuring accuracy and reliability before it reaches customers. You will work closely with engineering and product leadership, build scalable automation, and coach engineers to raise the quality bar. This position offers work-from-home opportunities and requires 8+ years of hands-on experience in quality engineering.
- Definir e implementar a estratégia de qualidade para os dados de referência da empresa, garantindo que a qualidade seja uma parte mensurável do processo de entrega. - Fechar as lacunas de cobertura de teste em fluxos de trabalho críticos, incluindo a ingestão de dados de provedores, correspondência de registros e entrega de dados de entidade. - Construir e expandir a automação escalável em dados, API e interfaces orientadas a eventos, decidindo o que pertence a cada camada de teste.
- Clear, confident communication with technical and business stakeholders - Hands-on experience designing and automating tests for backend and data systems, including API and contract testing, data pipeline validation, and event-driven or streaming interfaces (e.g., Kafka) - 8+ years of hands-on experience in quality engineering, including setting strategy for complex backend or data platforms - Deep expertise in test design across unit, API, and end-to-end layers, and judgment about where each belongs - Proven ability to set direction on your own and influence without authority - A track record of using AI to speed up engineering and testing - A strong grasp of continuous delivery, CI/CD, and release quality gates - Strong skills in at least one programming language (such as Python, Kotlin/Java, TypeScript/JavaScript, or Ruby), and comfort working in unfamiliar codebases - Experience validating data correctness at scale, ideally in matching, identity, or pipeline-driven systems - BS/MS in a relevant technical field - Hands-on E2E automation experience with Playwright - Experience evaluating AI or LLM output - Experience with financial, company, or reference data - Experience with data pipelines or data-operations tooling