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Data Engineer, Technology Job Opening In Manhattan – Now Hiring Point72


Job description

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


    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.

    t .


    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.


    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Point72 adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

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    Point72 interview tips for Data Engineer, Technology

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