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About the Role

Build and maintain the data infrastructure that powers finance operations for a rapidly growing AI organization. Join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives.

Responsibilities

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

Requirements

• 2–4 years of professional experience as a Data Engineer.
• Strong hands-on experience with PySpark and distributed data processing frameworks.
• Advanced SQL skills with experience writing efficient, production-grade queries.
• Experience building, maintaining, and optimizing large-scale ETL/data pipelines.
• Ability to work independently while collaborating effectively across cross-functional teams.
• Bachelor's degree in Computer Science or a related technical discipline.
• Excellent written and verbal communication skills.
• Willingness to work onsite full-time.

Skills

• PySpark
• SQL
• ETL/data pipelines

Location

• San Francisco, CA
• New York, NY
• Bellevue, WA

Work Type

• Onsite
• Full-time
• Contract

Experience Level

• 2-4 years

Education Level

• Bachelor's degree in Computer Science or a related technical discipline

Salary/Compensations

• $60 - $85 per hour

About the Company

• A rapidly growing AI organization.

Equal Opportunity

• We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.