Onsite Data Engineer - Finance Pipelines (6-Month Contract)

Weekday AI (YC W21); San Francisco (CA); On-site; USD 82,656 - 117,096; Part time

Job summary

Weekday AI (YC W21) is seeking a Data Engineer - Finance to build and maintain data infrastructure powering financial operations. This is a 6-month, full-time onsite contract with potential extension based on performance, located in San Francisco, NY, or Bellevue.

You will design robust PySpark data pipelines, optimize SQL queries, and collaborate with finance and engineering teams to ensure data accuracy and reliability. This hands-on role emphasizes production-grade ETL and data quality.

Qualifications

• 2–4 years of professional data engineering experience.
• Strong PySpark and SQL production-grade skills.
• Experience building large-scale ETL pipelines.
• Bachelor's degree in CS or related field.

Responsibilities

• Design, build, and maintain PySpark-based data pipelines for financial data processing.
• Write, optimize, and troubleshoot complex SQL queries for financial datasets.
• Collaborate with finance and engineering stakeholders to translate requirements into data infrastructure.
• Own end-to-end data quality by identifying and resolving pipeline issues.
• Improve reliability, scalability, and performance of data workflows in finance operations.
• Contribute to architecture discussions and best practices for data engineering.
• Document workflows, data models, and processes for maintainability.

Skills

PySpark

SQL

ETL pipelines

Data quality

Onsite collaboration

Education

Bachelor's degree in Computer Science

Job description

Weekday AI (YC W21) is seeking a Data Engineer - Finance to build and maintain data infrastructure powering financial operations. This is a 6-month, full-time onsite contract with potential extension based on performance, located in San Francisco, NY, or Bellevue.

You will design robust PySpark data pipelines, optimize SQL queries, and collaborate with finance and engineering teams to ensure data accuracy and reliability. This hands-on role emphasizes production-grade ETL and data quality.