Data Engineering at Point72
Roles, Comp & Culture
An L4 mid data engineer at Point72 sits around $330K total comp from 11 verified salary datapoints. The primary Data Engineering tech consists of Spark, CI/CD and Databricks, according to current job listings. Point72 pays data engineers above other Technology companies. Reviews put them at 4.0 on Glassdoor, a little above the middle of the pack. Employee sentiment at Point72 reads neutral and employee happiness is trending down over the past year. Layoff risk scores low for the next 30 days. 18 data engineering roles are open right now.
Point72 data engineer compensation
Each level's figure is the median of individual Point72 offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.
Point72 employee sentiment, tracked weekly
Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.
Point72 data engineering tech stack
The languages, storage, and processing tools Point72 data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
Point72 data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Build and operate robust data pipelines for batch and streaming workloads to ingest, transform, validate, and deliver data to models and downstream consumers
Design and implement a comprehensive financial knowledge graph architecture with sophisticated data models that capture complex financial relationships.
Develop and expand upon AI based tools that link to key data sources for greater instrumentation, visibility, and MTTR
Design and develop data egress pipelines for downstream consumption of generated research data
Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management.
Practice for the Point72 loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
Preparing for the Point72 loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Point72 with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Point72 interview difficulty
- 01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
- 02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
- 03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition