Data Engineer, Technology
Data Engineer, Technology
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Salary Not Disclosed
1 Vacancy
Job Description
A Career with Point72s Data Engineering Technology Team
As Point72 reimagines the future of investing our Technology group is constantly improving our companys IT infrastructure positioning us at the forefront of a rapidly evolving technology landscape. Were 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 firms 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 firms global footprint of investment strategies and teams.
What youll 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.
Whats required
- 36 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.
- Bachelors or masters 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 industrys brightest talent by cultivating an investor-led culture and committing to our peoples long-term growth. For more information visit annual base salary range for this role is $180000-$225000 (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.
Employment Type
Full Time
