Data Reliability Engineer: Finance Data Pipelines

Point72 Asset Management, L.P

New York (NY)

On-site

USD 100,000 - 150,000

Full time

9 days ago

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Benefits offered by this job

Benefits package
Discretionary bonus

Job summary

Point72 Asset Management, L.P. is seeking a Data Reliability Engineer to join a global team responsible for reliable data delivery to top portfolio managers.

The role focuses on day-to-day operations, data validation, incident response, and tooling to strengthen the research infrastructure and live trading workflows across markets. Requirements include a CS-related bachelor’s, 3+ years in a client-facing or operations role, and proficiency in Windows/Linux, AWS, SQL Server, and Python.

Qualifications

  • Bachelor's degree in CS or related field.
  • 3+ years in client-facing support or operations.
  • Experience with Windows and Linux, on-prem and in AWS.
  • Proficiency with SQL Server and Python; strong attention to detail.

Responsibilities

  • Level 1 support for thousands of mission critical data pipelines.
  • Data validation, data entry tasks, data cleaning, security audits and reporting.
  • Incident management including user communication and reporting for management.
  • Developing tools, documentation, and processes to assist with daily operations and support.
  • Support for complex permission and entitlements across many systems.

Skills

Client facing
Data validation
Data quality
Communication skills

Education

Bachelor's degree in Computer Science

Tools

SQL Server
Python
AWS
Linux
Windows

Job description

Point72 Asset Management, L.P. is seeking a Data Reliability Engineer to join a global team responsible for reliable data delivery to top portfolio managers.

The role focuses on day-to-day operations, data validation, incident response, and tooling to strengthen the research infrastructure and live trading workflows across markets. Requirements include a CS-related bachelor’s, 3+ years in a client-facing or operations role, and proficiency in Windows/Linux, AWS, SQL Server, and Python.

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