Staff Data Engineer
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Key skills for this role
Role Overview
Role Summary: Staff Data Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend a significant portion of their time coding, working hands-on with code, data, and modern tools—including AI-assisted development, cloud services, and automation frameworks—to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Skills for This Role
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Qualifications
- Basic Qualifications:
- 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
- Experience in designing and implementing data pipelines and large-scale data processing jobs.
- Experience in writing, modifying, and reviewing high-quality, testable, and efficient code.
- Experience in developing unit, integration, and end-to-end tests with a focus on automation.
- Experience in building and maintaining CI/CD pipelines and deploying applications using containerization and orchestration tools.
- Experience in monitoring applications in production and troubleshooting issues using observability tools.
- Experience in integrating AI or ML services into applications, where applicable.
- Experience in collecting and analyzing metrics to guide optimizations and improvements.
- Experience in partnering with stakeholders to clarify requirements and ensure deliverables meet business needs.
- Experience in applying secure coding practices and complying with regulatory standards.
- Preferred Qualifications:
- 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.
- Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
- Experience in building and pushing code into production.
- Experience in implementing and supporting real-time systems.
- Experience in mentoring junior engineers and writing clear technical documentation.
- Visa is an EEO Employer
- Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
About Visa
Visa is a global payments technology company that connects consumers, businesses, banks, and governments in over 200 countries through its electronic payment network, VisaNet.
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