Senior Data Engineer, Proprietary Research

Overview

As a Senior Data Engineer on Point72’s Proprietary Research team, you will design and build data and AI platforms that transform structured and unstructured data into actionable insights. You will work with investment professionals, researchers, data scientists, and compliance teams to deliver robust, production-ready data products and analytics.

What you'll do

• Design and build big data pipelines for ingestion, transformation, trend creation, and delivery of AI-ready data assets.
• Develop reusable software components, libraries, and APIs to support experimentation and production deployment.
• Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant.
• Build scalable, AI-native, cloud-based infrastructure using distributed systems and modern cloud technologies.
• Optimize system performance, cost, and reliability through benchmarking and continuous improvement.
• Explore emerging Data and AI technologies, run proof of concepts, and convert successful ideas into business deliverables.
• Partner with investment, research, data science, and compliance teams to turn research needs into production-ready data products and analytics.
• Provide hands-on technical leadership, influence architecture and team processes, and support development efforts across engineers and stakeholders.
• Deploy LLM-based tools and build agentic workflows for business impact.
• Demonstrate strong project management, business intuition, collaboration, ethical standards, and a solution-oriented mindset in a fast-paced environment.

What you'll need

• 5+ years of experience in Data Engineering, Software Engineering, or a related field.
• 2+ years of strong hands-on Python development experience.
• Experience in system design and leading development efforts involving multiple contributors.
• Strong knowledge of distributed data processing frameworks such as Spark.
• Experience building scalable APIs, backend infrastructure, and software applications.
• Hands-on experience with cloud platforms and services for data storage and compute, such as AWS, Google Cloud Platform, or Azure.
• Experience with workflow orchestration technologies such as Airflow.
• Strong interest in staying current with AI advancements and applying emerging techniques to real-world use cases.
• Demonstrated integrity, ownership, commerciality, humility, adaptability, strong work ethic, and domain knowledge, with the ability to elevate the team.
• Commitment to the highest ethical standards.

Nice to have

• Exposure to LangGraph, LangChain, embedding models, vector databases, or graph databases.

Details

• Location: Bengaluru, India.