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# Software Engineer - Data

- **Company:** POINT72, L.P.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $200,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Cloud Engineering, Computer Programming, Data as a Services, Data Infrastructure, Data Security, Relational Databases, Python (Programming Language), Performance Tuning, Software Engineering, Large Language Models, Backend, Containerization, Information Technology, Deployment Automation
- **Published:** June 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=69f381b55cbef14e

## About the Role

Do you have experience in System tuning?, * Bachelor's degree in computer science or a similar engineering field

 * 3+ years of professional experience in software engineering roles building enterprise-grade systems
 * Strong programming skills in Python and experience with team development on business-critical systems
 * Experience with relational databases, including schema design and performance tuning
 * Exposure to agentic development in a commercial environment
 * Exposure to cloud development
 * Commitment to the highest ethical standards

## Description

As a software engineer, you will help build the next generation of data infrastructure at the firm-thinking holistically about systems across APIs, data models, cloud infrastructure, and user experience. As demand for direct data access, enriched datasets, and AI-powered workflows grows, you will help create a unified, enterprise-grade data platform with clear ownership, shared standards, and the organizational structure to deliver trusted data at scale. Specifically, you will:

 * Build and maintain agentic workflows and tooling that leverage large language models
 * Define the service contracts, data models, and integration patterns that will serve as future firmwide standards for data access
 * Build high-impact, enterprise-grade data services and pipelines that support research, trading, and AI projects across the firm
 * Ensure backend systems are reliable, observable, and performant at scale
 * Containerize services and orchestrate workloads to ensure resilient, observable, and scalable deployments together with cloud engineers
 * Contribute to CI/CD pipelines, infrastructure as code, and deployment automation


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