Point72
Point72

60 Point72 Data Software Engineer Jobs Hiring Near You

Data Engineer, Technology

Stamford, NY · On-site

$180K - $225K/yr

A Career with Point72's Data Engineering Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at ...

A Career with Point72's Data Engineering Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at ...

Data Engineer, Proprietary Research

Manhattan, NY · On-site

$126.10K - $151.40K/yr

Point72 is a leading global alternative investment firm, and they are seeking a Data Engineer to join their Proprietary Research team. The role involves designing and building data solutions to help ...

Data Engineer, Knowledge Graph

New York, NY · On-site

$125.30K - $150.40K/yr

A Career with Point72's Market Intelligence Team On our proprietary research team-Market ... What you'll do As a Data Engineer, you will help leverage knowledge graphs that connect companies ...

Data Engineer, Knowledge Graph

New York, NY

$125.30K - $150.40K/yr

A Career with Point72's Market Intelligence Team On our proprietary research team-Market ... What you'll do As a Data Engineer, you will help leverage knowledge graphs that connect companies ...

Data Engineer, Knowledge Graph

Manhattan, NY · On-site

$126.20K - $151.60K/yr

A Career with Point72's Market Intelligence Team On our proprietary research team-Market ... What you'll do As a Data Engineer, you will help leverage knowledge graphs that connect companies ...

Programming experience in a quantitative environment with statistical models or complex ... data to shape our thinking. For more information, visit www.Point72.com/working-here The annual ...

Programming experience in a quantitative environment with statistical models or complex ... data to shape our thinking. For more information, visit www.Point72.com/working-here The annual ...

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Point72 Jobs Information

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What is it like to work at Point72?

Point72 is a dynamic and collaborative environment that values innovation, teamwork, and a passion for learning. The company's flat organizational structure and open communication channels foster a culture of transparency and idea-sharing, with employees working together to drive investment decisions and develop cutting-edge trading strategies. For those interested in a fast-paced and intellectually stimulating career in finance, Point72 offers opportunities to work with experienced professionals, develop skills in a variety of areas, and contribute to the company's mission of generating strong returns for its investors.
What other companies are hiring for Data Software Engineer jobs?
What are the most popular categories at Point72?
Infographic showing various Data Software Engineer job openings at Point72 in the United States as of May 2026, with employment types broken down into 4% Internship, and 96% Full Time. Highlights an 99% Physical, and 1% Remote job distribution.
Data Engineer, Technology

Data Engineer, Technology

Point72

Stamford, NY • On-site

$180K - $225K/yr

Full-time

Retirement

Posted 16 days ago


Job description

A Career with Point72's Data Engineering Technology Team
As Point72 reimagines the future of investing, our Technology group is constantly improving our company's IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We're a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.
The Data Engineering Technology team provides Point72 with a scalable data engineering capability and set of data services to support the firm's expanding data needs. We focus on solutions such as cloud computing, data platforms for large scale data processing, data governance, data quality, enterprise reference data, business automation, and high touch service. We have team members across four continents who collaborate to support the firm's global footprint of investment strategies and teams.
What you'll do
  • Design, develop, and maintain robust data pipelines and ETL workflows in Databricks to support quantitative research, trading, and risk management.
  • Collaborate closely with data scientists, analysts, and portfolio managers to understand data needs and deliver scalable data infrastructure.
  • Ingest, process, and normalize large volumes of structured and unstructured financial data from a variety of sources.
  • Optimize performance of data pipelines and ensure high availability, reliability, and data quality across all production systems.
  • Implement data governance best practices, including data lineage, cataloging, auditing, and access controls.
  • Support the integration of third-party data vendors and APIs into the broader data ecosystem.
  • Continuously evaluate and implement new tools and technologies to improve data engineering capabilities, with a focus on cloud-native and distributed processing frameworks.

What's required
  • 3-6 years of professional experience in data engineering or a similar role, ideally within a financial services or high-performance computing environment.
  • Expertise in Databricks, including Spark (PySpark or Scala), Delta Lake, and notebook-based development workflows.
  • Proficiency in building scalable, distributed data pipelines in a cloud environment (preferably Azure or AWS).
  • Strong programming skills in Python and SQL.
  • Solid understanding of data architecture principles, data modeling, and data warehousing.
  • Experience with version control (e.g., Git), CI/CD workflows, and modern data orchestration tools (e.g., Airflow, dbt).
  • Demonstrated ability to work collaboratively in a fast-paced, high-stakes environment with both technical and non-technical stakeholders.
  • Bachelor's or master's degree in computer science, engineering, or a related technical field.
  • Commitment to the highest ethical standards

WE TAKE CARE OF OUR PEOPLE
  • 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 www.Point72.com/about.
The annual base salary range for this role is $180,000-$225,000 (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.