Data Engineer - Finance

This role is for one of our clients

Compensation: $60 - $85 per hour

A rapidly growing AI organization is seeking aData Engineer — Financeto 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 a6-month, full-time onsite contractwith 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 robustPySpark-based data pipelinesto ensure accurate and timely financial data processing.
• Write, optimize, and troubleshoot complexSQL queriesto 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 yearsof professional experience as aData Engineer.
• Strong hands-on experience withPySparkand 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 inComputer Scienceor a related technical discipline.
• Excellent written and verbal communication skills.
• Willingness to workonsite 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-ondata engineeringposition focused on building and maintaining production data infrastructure. It isnota 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 anindependent 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 madeweekly via Stripe or Wisebased on services rendered.
• Please note:We are unable to supportH1-BorSTEM OPTcandidates at this time.