Software Engineer, EPIC Technology Services

Point72; New York (NY); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Fully-paid health care benefits

Generous parental leave policies

Mental wellness programs

Tuition assistance

401(k) savings program with employer match

Job summary

Point72 is seeking an experienced data engineer to manage data architecture and pipelines for their research management platform in New York. The role requires over 10 years of expertise in data engineering, leadership skills, and proficiency with tools like MongoDB and SQL.

Benefits include fully-paid healthcare, generous leave policies, and a supportive workplace culture. The base salary for this position is $200,000 annually, exclusive of bonuses and other compensations.

Qualifications

• 10+ years of experience in data engineering and platform development.
• Proven leadership experience in mentoring and driving technical direction.
• Strong hands-on expertise with MongoDB, SQL, and Databricks.
• Deep experience in designing and building robust ETL/ELT pipelines.

Responsibilities

• Manage the end-to-end data architecture for the firm's research management platform.
• Design and oversee data pipelines for research dashboards and applications.
• Ensure data pipeline standards for availability, scalability, and reliability.
• Lead, mentor, and provide direction to a team of data engineers.

Skills

Data engineering

Leadership

MongoDB

SQL

ETL/ELT pipelines

Data quality

Agile methodologies

Tools

Databricks

C#

Node.js

Job description

A Career with Point72’s Technology Team

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open‑source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi‑billion‑dollar global business.

What you’ll do

• Manage the end‑to‑end data architecture and pipeline strategy for the firm’s research management platform.
• Design and oversee data ingress pipelines supporting low latency, analyst‑facing research dashboards and data egress pipelines for downstream application, analytics, and AI consumption.
• Ensure data pipelines meet high standards for availability, scalability, performance, and reliability.
• Define and enforce modeling standards that support current and future research workflows.
• Establish and maintain data governance practices, including lineage, cataloging, auditing, and access controls.
• Ensure data platforms and structures are compatible with AI tooling, including MCP, agents, and automation.
• Lead, mentor, and provide technical direction to a team of data engineers.
• Conduct design and code reviews, setting best practices for testing, documentation, and maintainability.
• Partner with application engineering, product, and investment stakeholders to translate business needs into scalable data solutions.
• Own delivery outcomes for the data roadmap, balancing near‑term execution with long‑term platform health.

What’s required

• 10+ years of experience in data engineering and data platform development, including ownership of large‑scale production data systems.
• Proven leadership experience mentoring data engineers and driving technical direction across teams.
• Strong hands‑on expertise with MongoDB, SQL‑based data systems, and Databricks.
• Deep experience designing, building, and refactoring robust ETL/ELT pipelines across diverse data sources.
• Solid understanding of data architecture, data modeling, and modern data warehousing principles.
• Experience building high‑performance, low‑latency data systems that support end‑user products.
• Familiarity integrating data platforms with C# and Node.js middleware, including application topography and caching strategies.
• Demonstrated experience implementing data quality, observability, governance, and availability frameworks.
• Strong engineering discipline, including clean and testable code, automated testing, Git‑based workflows, Agile delivery, and excellent communication, with a strong sense of ownership and accountability.
• 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:

• Fully‑paid health care benefits
• Generous parental and family leave policies
• Mental and physical wellness programs
• Volunteer opportunities
• Non‑profit matching gift program
• Support for employee‑led affinity groups representing women, minorities and the LGBTQ+ community
• Tuition assistance
• A 401(k) savings program with an employer match and more

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/.

The annual base salary for this role is $200,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring based upon geographic location, work experience, education, and/or skill level, among other things.