What are the responsibilities and job description for the Sr. Data Engineer position at Visa?
Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and tackle massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.
The Opportunity:
We are seeking a versatile, curious, and energetic Senior Data Engineer to join our team of passionate and dedicated engineers. As the backbone of Data Engineering and Machine Learning innovation at Visa, we thrive on solving complex challenges at global scale.
In this role, you will be a key member of a cross-functional team that invents, designs, builds, and tests data-driven products serving a worldwide customer base. You’ll also have the opportunity to redefine how data products are built at Visa by contributing to cutting-edge AI and data platform initiatives.
Essential Functions
- Design and implement scalable, high-performance data pipelines for both structured and unstructured data.
- Build and maintain internal APIs and data services to securely expose and serve data and ML model outputs.
- Champion best practices in data quality, governance, observability, and performance optimization.
- Develop, train, and fine-tune AI/ML models for business use cases such as classification, recommendation, NLP, and computer vision.
- Build and optimize LLM-based applications using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
- Drive model evaluation, experimentation, A/B testing, and continuous learning pipelines.
- Enable Agentic AI systems by building infrastructure that supports autonomous workflows, orchestration, and decision-making loops.
- Collaborate closely with data scientists, product managers, and software engineers to integrate intelligent systems into scalable production environments.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.