Point72 Logo

Point72

Software Engineer - Data

Reposted 2 Months Ago
In-Office
New York, NY, USA
200K-300K Annually
Mid level
In-Office
New York, NY, USA
200K-300K Annually
Mid level
Build enterprise-grade data infrastructure and services supporting research, trading, and AI. Develop agentic workflows leveraging large language models, define service contracts and data models, build reliable scalable pipelines, ensure observability and performance, containerize and orchestrate deployments, and contribute to CI/CD and infrastructure-as-code automation.
The summary above was generated by AI

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           

As a software engineer, you will help build the next generation of data infrastructure at the firm—thinking holistically about systems across APIs, data models, cloud infrastructure, and user experience. As demand for direct data access, enriched datasets, and AI-powered workflows grows, you will help create a unified, enterprise-grade data platform with clear ownership, shared standards, and the organizational structure to deliver trusted data at scale. Specifically, you will: 

  • Build and maintain agentic workflows and tooling that leverage large language models
  • Define the service contracts, data models, and integration patterns that will serve as future firmwide standards for data access
  • Build high-impact, enterprise-grade data services and pipelines that support research, trading, and AI projects across the firm
  • Ensure backend systems are reliable, observable, and performant at scale
  • Containerize services and orchestrate workloads to ensure resilient, observable, and scalable deployments together with cloud engineers
  • Contribute to CI/CD pipelines, infrastructure as code, and deployment automation 

What's required

  • Bachelor’s degree in computer science or a similar engineering field 
  • 3+ years of professional experience in software engineering roles building enterprise-grade systems
  • Strong programming skills in Python and experience with team development on business-critical systems
  • Experience with relational databases, including schema design and performance tuning
  • Exposure to agentic development in a commercial environment
  • Exposure to cloud development 
  • 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
  • Volunteer opportunities
  • Support for employee-led affinity groups representing women, people of color and the LGBT+ community
  • Mental and physical wellness programs
  • 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 range for this role is $200,000-$300,000 (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 range based upon geographic location, work experience, education, and/or skill level, among other things.

Point72 New York, New York, USA Office

55 Hudson Yards , New York, United States, 10001

Similar Jobs

2 Days Ago
Hybrid
New York, NY, USA
135K-200K Annually
Mid level
135K-200K Annually
Mid level
Artificial Intelligence • Software
Build and maintain backend data connectors and shared connectivity infrastructure for Palantir Foundry. Develop connector SDKs, integrations, build and distribution tooling, testing frameworks, observability, security capabilities, and migration solutions. Collaborate across teams to support batch and streaming ingestion, exports, change data capture, interactive queries, and writeback. Diagnose production reliability and performance issues, improve compatibility and maintainability, and help prepare connectivity software for open-source use.
Top Skills: Apache FlinkApache IcebergDebeziumGitGradleJavaKafkaKubernetesPython
4 Days Ago
Remote or Hybrid
US
86K-119K Annually
Mid level
86K-119K Annually
Mid level
Information Technology
Build and support enterprise data ingestion, transformation, modeling, and integration solutions using Microsoft Fabric and Azure data services. Develop batch, API, file, database, and event-driven pipelines; create dimensional and curated data models; write and optimize SQL; resolve data-quality and pipeline issues; and support production workloads. Collaborate in Agile engineering processes using GitHub, Azure DevOps, CI/CD, code reviews, and reusable development standards.
Top Skills: Azure Data FactoryAzure Data LakeAzure DevopsAzure Key VaultAzure Service BusAzure SqlAzure StorageCi/CdDelta LakeGitGitJSONMicrosoft FabricPysparkPythonRest ApisSQLSQL Server
One Month Ago
Easy Apply
In-Office
New York, NY, USA
Easy Apply
196K-247K Annually
Senior level
196K-247K Annually
Senior level
Artificial Intelligence • Fintech • Healthtech • Software
Lead the design, implementation, and support of healthcare data integrations and pipelines. Build internal tools and data abstractions, improve integration scalability and quality, mentor engineers, establish best practices, and collaborate with product, delivery, platform, and support teams. Apply rigorous software engineering practices including automated testing, CI/CD, version control, and observability while advancing data semantics, claims processing, cataloging, and lineage.
Top Skills: Apache AirflowCi/CdDagsterData MeshDbtDjangoEltETLFhirFivetranGoHl7KafkaKotlinMedallion ArchitecturePythonSnowflakeSqlalchemyX12

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account