Data Engineer - Remote

Overview

ThetaRay is a trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintechs, banks, and regulatory bodies worldwide. Our mission is to enhance trust in financial transactions, ensuring compliant and innovative business growth.

In Short

• Join a dynamic global team committed to redefining financial services through technology.
• Design, implement, and optimize data pipeline flows within the ThetaRay system.
• Support data scientists with relevant data flows based on their design.
• Build Machine Learning data pipelines.
• Create data tools for analytics and data science teams.
• Collaborate with product, R&D, data, and analytics experts.
• Train customer data scientists and engineers on data pipelines.
• Travel to customer locations domestically and abroad.
• Build and manage technical relationships with customers and partners.

Requirements

• 2+ years of hands-on experience with Apache Spark using Pyspark or Scala.
• Experience with SQL.
• Familiarity with version-control tools such as GIT.
• Experience with the Apache Hadoop Ecosystem.
• Hands-on experience with data transformation and ML feature engineering.
• BSc degree or higher in a quantitative field.
• Experience optimizing big data pipelines is an advantage.
• Strong analytic skills with structured and semi-structured datasets.
• Business-oriented and able to work with external customers.
• Fluent in English & Spanish.

Benefits

• Collaborative and inclusive work environment.
• Opportunity to work with leading minds in AI and financial technology.
• Contribute to creating safer financial environments.
• Innovative and purpose-driven company culture.