Senior Data Engineer

Role Overview

As a Senior Data Engineer, you'll play a critical role in building and scaling innovative data products that power some of the world's most successful financial organizations. You'll thrive in this position if you're curious, data-driven, and collaborative, with a passion for financial technology and a drive to deliver reliable, high-quality solutions in a fast-moving environment.

What You Will Do

Design, build, and maintain scalable data pipelines, partner with Data Science, Product Management, and Engineering teams, ensure data quality, and contribute to the onboarding of new data sources.

Why It Might Be a Fit

This position requires a strong communicator with the ability to collaborate effectively across technical and non-technical teams, and a solid understanding of version control practices using Git or equivalent tools.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related STEM field, or equivalent practical experience
• 2–4 years of experience in data engineering, with hands-on proficiency in Python, SQL, PySpark/Spark, Java, and shell scripting
• Experience working with cloud and big data platforms such as AWS (S3/EC2) and Databricks in a Linux environment
• Solid understanding of version control practices using Git or equivalent tools
• Strong communicator with the ability to collaborate effectively across technical and non-technical teams

Benefits

• Competitive rewards package
• Annual bonus/commission (short-term incentive)
• Equity (long-term incentive)
• Comprehensive benefits
• Opportunity for growth