Onsite Finance Data Engineer | PySpark Pipelines

Weekday AI (YC W21); New York (NY); On-site; USD 82,656 - 117,096; Full time

Job summary

Weekday AI (YC W21) is seeking a Data Engineer - Finance to design and maintain data infrastructure powering finance operations. You will build scalable PySpark pipelines, ensure data quality, and support critical financial initiatives on a hands-on team.

The role is a 6-month, full-time onsite contract with potential extension. Location options include San Francisco, NY, or Bellevue, with weekly payments and an emphasis on production-ready data engineering.

Qualifications

• 2-4 years of professional experience as a Data Engineer.
• Strong PySpark experience and distributed data processing.
• Advanced SQL skills with production-grade queries.
• Experience building and optimizing large-scale ETL pipelines.
• Bachelor's degree in CS or related technical discipline.
• Excellent written and verbal communication; onsite work.

Responsibilities

• Design, build, and maintain PySpark data pipelines for financial data.
• Write, optimize SQL queries for large-scale datasets.
• Collaborate with finance and engineering stakeholders.
• Own data quality and resolve pipeline issues.
• Improve reliability, scalability, and performance of data workflows.
• Contribute to architecture discussions and best practices.
• Document workflows and data models for maintainability.

Skills

PySpark

SQL

Data pipelines

ETL

Independent work

Education

Bachelor's degree in Computer Science

Job description

Weekday AI (YC W21) is seeking a Data Engineer - Finance to design and maintain data infrastructure powering finance operations. You will build scalable PySpark pipelines, ensure data quality, and support critical financial initiatives on a hands-on team.

The role is a 6-month, full-time onsite contract with potential extension. Location options include San Francisco, NY, or Bellevue, with weekly payments and an emphasis on production-ready data engineering.