Quant jobs / Point72
Data Engineer, Proprietary Research
A data engineering role on Point72's Market Intelligence team, which builds research products from large alternative datasets. You would build the pipelines and tools that let analysts and data scientists get value from that data.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build big-data pipelines for ingesting, transforming and delivering datasets
- Create cloud infrastructure that data scientists and researchers can use
- Prototype and assess new big-data technologies
- Build visualisation and exploration tools on top of the data
What they ask for
Required
- 3+ years in data engineering
- Strong Python development
- Spark or Scala
- Interest in big-data technologies
- Creative problem solving
Preferred
- Graph databases
- Education
- No degree level stated
- Experience
- 3+ years in data engineering or a related field
- Languages and tools
How to prepare
- Build a Spark pipeline end to end over a large public dataset, from ingestion to delivery
- Learn cloud distributed-compute basics and how to deploy a data job
- Practise handling unstructured data such as text and documents
- Try a small graph database project to see where it helps
What to study
Apply
Read the full posting on Point72’s site before applying: requirements, location and pay can change after we check them.
View the posting on Point72’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Point72 and doesn’t handle applications.