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, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Required Skills

• Bachelor’s in Computer Science (or related) with 4+ years’ relevant experience

• Advanced SQL skills and data warehousing knowledge

• Experience in data mining, profiling, modeling, and ETL design

• Proficient in Python, Java, and PySpark

• Familiarity with Big Data tools (HDFS, Hive, Spark, NiFi, Kafka)

• Comfortable with Linux command line

• Experience building and optimizing data pipelines for batch/stream processing

• Strong understanding of distributed systems and data architecture

• Excellent problem-solving and communication skills

• Ability to thrive in a fast-paced, deadline-driven environment

Nice-to-Have Skills

• Experience with GenAI and machine learning frameworks (e.g., LLMs, TensorFlow, PyTorch)

• Knowledge of cloud platforms (AWS, GCP, Azure)

• Familiarity with DataOps and CI/CD pipelines

• Experience with data visualization tools (Tableau, Power BI)

• API development skills

• Industry-specific experience (finance, healthcare, etc.)

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Bachelor’s in Computer Science (or related) with 4+ years’ relevant experience

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.