Level

Point72

Senior Data Engineer, Proprietary Research

AI in this role

langchainlanggraph
ai-agents

JOB TITLE

Senior Data Engineer, Proprietary Research

A CAREER WITH POINT72’S PROPRIETARY RESEARCH

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.

WHAT YOU'LL DO

Senior Data Engineers on the Proprietary Research team design and build Data & AI Platform to transform structured and unstructured data into actionable insights. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools that help extract the most value out of Point72’s data assets. In this role, you will:
• 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.
• Use AI as a core operating layer by deploying LLM-based tools and building 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’S REQUIRED

• 1. 5+ years of experience in Data Engineering, Software Engineering, or a related field.
• 2. 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.
• Exposure to LangGraph, LangChain, embedding models, vector databases, or graph databases is a plus.
• Strong interest in staying current with AI advancements and applying emerging techniques to real-world use cases.
• Demonstrates key values including integrity, ownership, commerciality, humility, adaptability, and the ability to elevate the team through strong work ethic and domain knowledge.
• Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
• Health care benefits
• Maternity, Adoption & related leave policies
• Generous paternity and family care leave policies
• Employee Assistance Program & Mental wellness programs
• Transportation support
• Tuition assistance

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com.

How we rate this

Senior Data Engineer, Proprietary Research at Point72 rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

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Skills and AI tools this role asks for

AI AgentsLangChainLangGraph

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Walk me through how you've used LangChain in your day-to-day work.
  3. What are the limits of LangGraph that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

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  • List these exact terms on your resume: AI Agents, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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