Data Engineer

Responsibilities

• Improve data ETL pipeline and build tools to analyze new data efficiently
• Build technologies to bolster research & trading efficiency
• Expand to new markets and asset classes
• Manage day-to-day operations in a fast-paced environment

Preferred

• knowledge of common data analytics tools (e.g., SQL, pandas)

Benefits

• Discretionary bonus compensation
• Glassdoor
• 4.0
• Point72 invests in multiple asset classes and strategies worldwide.
• Stamford, Connecticut, USA
• https://www.point72.com
• Distribution of Different Job Fields Receiving Sponsorship
• Represents job field similar to this job
• Engineering and Development
• Accounting and Finance
• Management and Executive
• Customer Service and Support
• Creatives and Design
• Product Management
• Legal and Compliance
• Marketing
• Sales
• Trends of Total Sponsorships
• *2026
• (82)
• 2025
• (61)
• 2024
• (41)
• 2023
• (46)
• 2022
• (35)
• 2021

Qualifications

• Master/PhD degree in math, computer science, engineering, or other related fields
• 1-3 years of professional experience in software development or data science/analytics
• Strong combination of quantitative skills and programming skills
• Proficiency in Python
• Familiarity with the Linux environment
• Excellent written and verbal communication skills
• Willing to work in a fast-paced start-up environment
• Commitment to the highest ethical standards
• Knowledge of common data analytics tools (e.g., SQL, pandas)
• 1-3 years of professional experience in software development or data science/analytics.

Required skills

• Python, SQL, pandas, Linux, Software Development, Data Science and Analytics

Preferred skills

• knowledge of common data analytics tools (e.g., SQL, pandas)

Experience

• 1+ years