7 months ago
Base Salary
$160k - $220k/yr
Responsibilities
- Develop and support big data processing pipelines for ingestion, transformation, and end-customer delivery.
- Build cloud-based infrastructure using distributed techniques for data engineers, data scientists, and researchers.
- Evaluate new big data technologies through proof-of-concept projects.
- Build and support visualization and exploration capabilities for large datasets.
- Partner with investment professionals, researchers, data scientists, and Compliance to deliver compliant research tools and insights.
Requirements
- At least 3 years of experience in data engineering or a related field.
- Experience or demonstrated interest in big data technologies.
- Strong Python development experience.
- Experience with Spark or Scala.
- Ability to devise novel and innovative solutions to challenges.
- Knowledge of or experience with graph databases is preferred.
- Strong attention to detail, organization, collaboration, problem-solving, and project management skills.
- Ability to work ethically and build relationships across multiple business units.
Benefits
- Fully paid health care benefits.
- Generous parental and family leave policies.
- Mental and physical wellness programs.
- Volunteer opportunities and a non-profit matching gift program.
- Support for employee-led affinity groups representing women, minorities, and the LGBTQ+ community.
- Tuition assistance.
- 401(k) savings program with employer match.
- Annual base salary range of $160,000-$220,000, excluding discretionary bonus compensation and comprehensive benefits.
Tech Stack
Categories
Data Engineering
About Point72
Point72 is a global alternative investment firm that deploys fundamental and systematic strategies across equities and other asset classes for institutional and qualified investors. The firm earns management and performance fees and also invests partner capital. Founded in 2014 by Steven A. Cohen and headquartered in Stamford, Connecticut, it operates a multi-manager platform with offices worldwide and a large in-house technology organization supporting research, trading, data, and risk.