Data Engineer - Data Science Platform - Remote

Overview

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

In Short

• Looking for a data engineer for the merchant data platform data science and modeling team.
• Help build AI-powered merchant ecosystem.
• Build machine learning solutions to enhance merchant data.
• Discover insights and ensure data quality.
• Power cross-functional peers to unleash merchant data potential.
• This is a hybrid position requiring 2-3 days in the office.
• Minimum of 6 months of experience or a Bachelor's Degree required.
• Experience with SQL, Python, and machine learning libraries preferred.
• Knowledge of Big Data, Hadoop, Spark, and cloud services like AWS.
• Understanding of ML infrastructure concepts is a plus.

Requirements

• Minimum of 6 months of work experience or a Bachelor's Degree.
• Skilled in SQL, Python, and libraries like scikit-learn and Pandas.
• Experience with Big Data and analytics technologies.
• Familiar with modeling techniques such as regression and NLP.
• Experience in Automation frameworks like Airflow.
• Knowledge of MLOps and production ML systems.
• Experience in DevOps and CI/CD tooling.
• Experience with AWS services.
• Understanding of ML infrastructure concepts.

Benefits

• Comprehensive benefits package including Medical, Dental, Vision.
• 401(k) plan and FSA/HSA options.
• Life Insurance and Paid Time Off.
• Wellness Program.
• Potential sales incentive payments.
• Eligibility for bonus and equity.