Data Engineer

Visa•Foster City, CA

3h•Hybrid

About The Position

The Data and Artificial Intelligence Platform (DAP) group is a key component of Visa's Technology organization, providing the enabling technology and processes to handle Visa's data assets and deliver valuable information, products, and services to customers. Within DAP, the Data as a Service (DaaS) team consists of skilled data engineers focused on building data pipelines to meet Visa's data needs and delivers secure, high-quality, and easy-to-use data assets. As a Data Engineer, you'll join our Data & AI Platform – Data as a Service organization in Foster City, California. You will help enhance and build our data infrastructure and pipelines within an agile development environment, using Gen AI regularly, and collaborating with colleagues who will support and challenge you daily. What We Offer: Exciting Challenges: We work at a scale rarely seen in the industry, solving complex data and AI problems across the entire stack, offering limitless opportunities to leverage and lead in this ever-growing field. Teamwork and Fun: Each of us brings diverse and rich experiences to the team, enabling us to deliver much more than the sum of our parts and have fun at the same time. Fantastic People: With strong leadership, you will have the opportunity to learn, collaborate, and deliver together with some of the best and most creative minds in the industry.

Requirements

Bachelor's degree, OR 3+ years of relevant work experience

Nice To Haves

1 or more years of work experience with a Bachelor’s Degree in Computer Science or Computer Engineering.
Strong programming skills in at least one of the following languages: Java, Python, or Scala
Experience utilizing GenAI technologies in software development.
Hands-on experience developing data processing pipeline, feature extraction, production deployment and monitoring.
Knowledge and working experience on Apache Spark, Kafka, Hadoop, Hive, Trino, Presto, Apache Airflow and NoSQL databases like Hbase working with PB level data volume.
Experience with GenAI or Agentic AI technologies (e.g., LLMs, NLP) and RAG-based architecture and Vector DBs.
Knowledge and experience in J2EE technologies, Microservices and REST APIs.
Experience in an Agile environment, with a strong emphasis on best software development practices such as CI/CD, code reviews, and test automation, using tools like Jira and Jira Align

Responsibilities

Coding, testing to develop, and maintain robust and scalable data pipelines and ETL processes on non-production and production environment
Ensure data services are highly available, secure, scalable, and resilient.
Improve and support production systems, ensuring that production issues are promptly resolved
Collaborate with the agile team, user community, architects, and support teams to understand requirements and implement effective solutions
Drive innovation to differentiate our data products and accelerate time-to-market delivery
Adhere to established software development guidelines, security standards and responsible use of Gen AI tools and frameworks
Help maintain atmosphere of mutual accountability