Point72
Data Engineer, Investment Services
US
Sponsorship not specifiedDetected 16 days ago
PythonJavaGoSQLCloud PlatformsDockerCI/CDRESTMachine LearningData EngineeringNLPLLMsIncident ResponseTest AutomationCommunication
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odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning.
- We want you to concentrate on success and leave the rest to us.
- For more information, visit https://point72.com/.
Responsibilities
- Design and build scalable, high-performance backend systems that power investment services and AI-driven applications, and own their end-to-end lifecycle
- Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers
- Implement and maintain microservices and APIs that expose data and model functionality with a focus on reliability, low latency, and security
- Optimize system performance and resilience through monitoring, observability, capacity planning, and automated incident response
- Lead cross-functional delivery of prototypes into production by collaborating with data scientists, researchers, product owners, and operations teams
- Build and maintain CI/CD pipelines, automated testing, and deployment practices to accelerate safe delivery and rollback of services
- Collaborate with security, compliance, and infrastructure partners to ensure data governance, access controls, and operational controls are integrated into solutions
- Experience building production data pipelines or data engineering solutions for batch and streaming data
- Demonstrated experience developing or integrating generative AI and large language model solutions, such as model serving, embedding pipelines, fine-tuning workflows, or production integration with model APIs
- Strong programming skills in one or more backend languages such as Python, Java or Go, with demonstrated ability to design maintainable code and services
Requirements
- Bachelor's degree in computer science, software engineering, or a related technical fieldAt least 5 years of professional software engineering experience with a focus on backend system engineering
- Strong data skills including SQL, data modeling, and experience with both relational and non-relational data stores
- When you work here, we provide:
Benefits
- We invest in our people, their careers, their health, and their well-being.
- Private life insurance
- Private medical and dental care, with vision allowance
- Private pension scheme
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