Data Engineer (Fintech)

TL;DR

Data Engineer (Fintech): Designing, building, and evolving scalable data pipeline architecture to ensure reliable, high-quality data delivery with an accent on Python, SQL, and Azure Databricks. Focus on optimizing batch and real-time ingestion processes, implementing robust data models, and leveraging AI-assisted tools to maintain high engineering standards.

Location: Must be based in the US (Remote)

Salary: $95,000 – $140,000

Company

A rapidly growing fintech company providing digital lending and data solutions.

What you will do

• Design, develop, and maintain scalable data pipelines and data products.
• Build and optimize batch and near real-time data ingestion and transformation processes.
• Collaborate with data architects, analysts, and scientists to deliver scalable data solutions.
• Implement data models supporting reporting, analytics, and operational use cases.
• Ensure data quality and performance through monitoring, automated testing, and troubleshooting.
• Support CI/CD, infrastructure automation, and technical documentation.

Requirements

• Must be based in the US
• 2–4 years of professional experience in Data Engineering or Data Warehousing.
• Strong hands-on experience with Python and SQL.
• Experience with Apache Spark, Parquet, and Azure Databricks.
• Solid understanding of ETL/ELT methodologies and data warehousing principles.
• Experience with CI/CD pipelines and version control practices.

Nice to have

• Experience building lightweight data applications using Streamlit, Dash, Flask, or similar.
• Prior experience in financial services or regulated environments.

Culture & Benefits

• Comprehensive insurance coverage (medical, dental, vision, life, and disability).
• Flexible paid time off and paid holidays.
• 401(k) plan with company match.
• Remote work environment.