Finance Data Engineer - Onsite (6-Month Contract)

Weekday AI; San Francisco (CA); On-site; USD 83,000 - 117,000; Full time

Job summary

Weekday AI is seeking a Data Engineer - Finance to design, build, and maintain PySpark-based data pipelines powering financial data processing. This onsite 6-month contract role requires strong SQL and ETL experience, with responsibilities spanning data quality, scalability, and collaboration with finance and engineering teams.

The ideal candidate has 2–4 years in data engineering, a BS in CS, and can work independently onsite in a fast-growing AI environment.

Qualifications

• 2–4 years of professional data engineering experience.
• Hands-on PySpark and distributed data processing.
• Advanced SQL skills and production-grade queries.
• Experience building and maintaining large-scale ETL pipelines.
• Bachelor's degree in Computer Science or related field.

Responsibilities

• Design, build, and maintain PySpark-based data pipelines for financial data.
• Write and optimize complex SQL queries to validate large datasets.
• Collaborate with finance and engineering teams to translate requirements into data infra.
• Own end-to-end data quality and resolve pipeline issues.
• Improve reliability, scalability, and performance of data workflows.
• Document workflows, data models, and processes for maintainability.

Skills

PySpark

SQL

ETL pipelines

Data quality

Distributed processing

Education

Bachelor's degree in Computer Science

Job description

Weekday AI is seeking a Data Engineer - Finance to design, build, and maintain PySpark-based data pipelines powering financial data processing. This onsite 6-month contract role requires strong SQL and ETL experience, with responsibilities spanning data quality, scalability, and collaboration with finance and engineering teams.

The ideal candidate has 2–4 years in data engineering, a BS in CS, and can work independently onsite in a fast-growing AI environment.