Data Engineer - Finance

This role is for one of our clients

Compensation: $60 - $85 per hour

A rapidly growing AI organization is seeking a Data Engineer — Finance to build and maintain the data infrastructure that powers its finance operations. You'll join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. This is a 6-month, full-time onsite contract with the possibility of extension based on performance and business needs.

Location: Onsite – San Francisco, CA / New York, NY / Bellevue, WA

Requirements

Key Responsibilities

• Design, build, and maintain robust PySpark-based data pipelines to ensure accurate and timely financial data processing.

• Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.

• Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions.

• Own end-to-end data quality by identifying, investigating, and resolving pipeline issues efficiently.

• Improve the reliability, scalability, and performance of data workflows supporting finance operations.

• Contribute to architecture discussions and recommend best practices for data engineering and pipeline optimization.

• Document workflows, data models, and engineering processes to ensure 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.

Preferred Qualifications

• Experience supporting finance, accounting, or enterprise business data platforms.

• Familiarity with cloud-based data infrastructure and modern data engineering best practices.

• Strong analytical and problem-solving abilities with attention to data accuracy.

• Experience working in fast-paced, high-growth technology environments.

Role Details

• Employment Type: Independent Contractor

• Duration: 6-month contract with potential extension

• Work Arrangement: Full-time, Onsite

• Locations: San Francisco, CA / New York, NY / Bellevue, WA

Note: This is a hands-on data engineering position focused on building and maintaining production data infrastructure. It is not a business intelligence, reporting, dashboarding, machine learning, or AI research role.

Equal Opportunity

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

Contract & Payment Terms

• You will be engaged as an independent contractor.

• This is a full-time onsite engagement.

• Projects may be extended, shortened, or concluded early based on business needs and performance.

• Your work will not involve access to confidential or proprietary information from any employer, client, or institution.

• Payments are made weekly via Stripe or Wise based on services rendered.

• Please note: We are unable to support H1-B or STEM OPT candidates at this time.