Data Engineer - Finance

Weekday AI (YC W21); New York (NY); On-site; USD 82,656 - 117,096; Full time

Job summary

Weekday AI (YC W21) is seeking a Data Engineer - Finance to design and maintain data infrastructure powering finance operations. You will build scalable PySpark pipelines, ensure data quality, and support critical financial initiatives on a hands-on team.

The role is a 6-month, full-time onsite contract with potential extension. Location options include San Francisco, NY, or Bellevue, with weekly payments and an emphasis on production-ready data engineering.

Qualifications

• 2-4 years of professional experience as a Data Engineer.
• Strong PySpark experience and distributed data processing.
• Advanced SQL skills with production-grade queries.
• Experience building and optimizing large-scale ETL pipelines.
• Bachelor's degree in CS or related technical discipline.
• Excellent written and verbal communication; onsite work.

Responsibilities

• Design, build, and maintain PySpark data pipelines for financial data.
• Write, optimize SQL queries for large-scale datasets.
• Collaborate with finance and engineering stakeholders.
• Own data quality and resolve pipeline issues.
• Improve reliability, scalability, and performance of data workflows.
• Contribute to architecture discussions and best practices.
• Document workflows and data models for maintainability.

Skills

PySpark

SQL

Data pipelines

ETL

Independent work

Education

Bachelor's degree in Computer Science

Job description

Compensation: $60 - $85 per hour

A rapidly growing AI organization is seeking a

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