Data Engineer - Finance (Contract) - Remote Opportunity

About Mercor

Mercor is a company that bridges top-tier creative and technical experts with leading artificial intelligence research laboratories. Based in San Francisco, the firm counts renowned investors such as Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey among its backers.

Position Overview

We are seeking a Data Engineer specializing in Finance to join our team. This is a contract role, requiring full-time commitment over a period of six months. The position is on-site at one of the following locations: San Francisco, CA; New York, NY; or Bellevue, WA. The hourly compensation ranges from $60 to $85.

Key Responsibilities

• Develop and manage PySpark-based data pipelines to guarantee precise and timely delivery of financial data.
• Create and refine SQL queries to efficiently handle extensive financial datasets.
• Collaborate with Finance and engineering teams to convert unclear requests into practical data infrastructure solutions.
• Identify and promptly resolve issues in the data pipeline, ensuring comprehensive quality of data processing.

Qualifications

• Between two to four years of professional experience as a Data Engineer.
• Proficient hands-on experience with PySpark and managing large-scale or distributed data processing tasks.
• Strong command of SQL.
• Availability and willingness to work full-time on-site.
• Possession of a Bachelor's degree in Computer Science or a related discipline.
• Excellent written communication skills with ability to perform independently.

Application Procedure

• Submit your resume.
• Complete an AI-driven interview based on your resume, taking approximately 20–30 minutes.
• Fill out and submit the application form.

Support and Resources

For comprehensive details about the interview process and platform, please visit the organization's official documentation. If assistance is needed, reach out via the organization's support email.

Additional Information

Applications are reviewed daily. Candidates must complete all interview and application steps to be considered for this role.