7 months ago
Base Salary
$250k - $300k/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.
- Set technical direction and lead development efforts involving multiple engineers and stakeholders.
- Evaluate emerging technologies through proof-of-concept projects for big data processing.
- Build and support visualization and exploration capabilities for large datasets.
- Partner with investment professionals, researchers, data scientists, product managers, and compliance professionals to deliver research tools and insights.
Requirements
- 5+ years of experience in data engineering or related development work with distributed data technology.
- Experience with system design and leading multi-person development efforts.
- Strong experience with Python development.
- Experience with Spark and cloud computing is a plus.
- Knowledge of or experience with graph databases is a plus.
- Track record of delivering novel and innovative solutions, with strong collaboration, organization, problem-solving, and project management skills.
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 an employer match.
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.