# Data Engineer - Finance

> Weekday AI · San Francisco, United States · Part-time · Posted 2026-07-29

**Workplace:** on_site

**Department:** AI Training

## Description

**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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/86187DE1C0/apply)

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