Staff Data Engineer
Visa · Posted Oct 6
Digital payment technology platform and global payment card services corporation
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About the role
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Staff Data Engineers are hands-on builders who design, implement, and improve data applications and systems, working with code, data, modern tools including AI-assisted development, cloud services, and automation frameworks. This role delivers secure, scalable, high-quality data products and pipelines in the fintech sector, collaborating with product managers, designers, data scientists, QA, operations, and compliance.
What you will do
- Independently understand data ecosystems, security, privacy, and retention requirements to support business and product features.
- Act as a key participant in meetings with stakeholders to identify and clarify requirements and determine business needs.
- Translate functional requirements into architecture designs for one or more components, leveraging existing architecture design patterns, and communicate these to Data Engineers.
- Implement extensible, maintainable, and reusable code using appropriate coding patterns, guidelines, and best practices; participate in code reviews to ensure standards are followed.
- Provide end-to-end ownership of data products or data pipelines, including mitigation of technical debt and documentation of errors or unexpected bugs.
- Identify and conduct required testing for moderately complex use cases, including unit testing, coding standards, and security scans.
- Build tools and standard automation processes to assist in transforming, managing, accessing, deploying, and monitoring data processes in batches and in real time.
- Write queries to extract and compile raw data across end-to-end pipelines, and implement orchestration techniques to automate data extraction logic.
- Ensure adherence to data management principles, governance, and tools to maintain data quality across multiple features.
- Develop and update troubleshooting guidance and procedures for reviewing, addressing, and fixing advanced problems flagged by testing.
- Manage software upgrades and server patches for security remediation where applicable.
Skills used in this role
What the employer is looking for
- 6+ 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 solving data problems using data technologies
- Experience with Hadoop, Hive, HBase, Spark, Trino, or comparable distributed data systems.
- 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.
- Data pipelines, ETL/ELT, data-quality frameworks, Java or Python, SQL, Git, and production troubleshooting.
- 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 contributing in Open source components.
- Use/Build AI agents, and agentic patterns to improve development, testing, operations, troubleshooting, automation, onboarding, and documentation.
- Experience in enterprise-class systems engineered for high availability, low latency, scalability, and supportability. Architecture depth across storage/compute separation, query and table formats, streaming, metadata, governance, and interoperability.
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Visa
Visa Inc. is a multinational payment card services corporation that facilitates electronic funds transfers worldwide. The company empowers global commerce through its secure digital payment network, connecting consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.
- Industry
- Banking
- Company size
- 34100 employees
- Founded
- 1958-09-18
- Location
- San Francisco, California, USA
- Funding stage
- Public Company
Funding
Public Company · $17.9B raised
- 2008-03-19IPO$17.9B
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Product and Strategy Officer
Group President, Global Markets
Vice Chair, Chief People and Corporate Affairs Officer
Recent coverage
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