Prodigyfinance

Data Analytics Engineer

Prodigyfinance

2 days ago
Remote
Full Time
Senior
0 applicants
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Prodigyfinance
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About this role

A Data Analytics Engineer at Prodigy Finance builds and maintains data systems that support business-critical decisions in credit risk, lender reporting, and funding operations. The role involves working with AWS Redshift, Python, SQL, and DBT to develop and sustain data models and ETL pipelines.

Skills

Qualifications

3+ years of hands-on experience in a data engineering or analytics engineering roleStrong working knowledge of SQLExperience with Python for data transformation and pipeline workFamiliarity with AWS Redshift or comparable cloud data warehouse technologiesComfortable with GitHub workflows and version-controlled development practices
Prodigyfinance

About Prodigyfinance

prodigyfinance.com

Prodigy Finance is a fintech lender that provides loans to international graduate students, enabling study at more than 1,800 universities worldwide. Its student loans typically require no collateral or local co-signer and are aimed at master’s, MBA and other postgraduate programs. The company uses data-driven underwriting and investor-funded lending to assess credit for applicants who may lack traditional local credit history. Prodigy Finance offers an online application process, flexible repayment options, and partnerships with many universities to simplify access to education financing.

About Prodigyfinance

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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