Data Engineer - Remote

Overview

Saaf Finance is building the AI workforce for the mortgage industry, reimagining how loans are underwritten and processed. We’re scaling fast and hiring a Data Engineer to own the backbone of our AI‑driven platform: the data. You’ll design and operate production‑grade infrastructure that powers analytics, product features, and next‑gen agentic automation in mortgage origination.

In Short

• Design, implement, and maintain ETL/ELT pipelines for structured and unstructured datasets.
• Build and optimize warehouses and marts (e.g., Snowflake, BigQuery) for analytics and reporting.
• Ingest data from APIs and SaaS platforms into the core data platform.
• Design conceptual, logical, and physical models for scalable datasets.
• Implement data quality and governance measures for accuracy and compliance.
• Monitor and tune pipeline/warehouse performance for scalability.
• Apply data security and privacy controls aligned with financial regulations.
• Deliver clean, consistent datasets to analysts and operations for data-driven decisions.

Requirements

• Strong SQL and Python skills for transformation and automation.
• Experience with modern ETL/ELT frameworks (e.g., dbt).
• Proficiency with cloud platforms (AWS preferred) and serverless data services.
• Strong experience with data warehouses (Snowflake preferred).
• Skilled in API integrations and ingestion from third-party systems.
• Proficient in data modeling (Kimball/Star, Data Vault).
• Able to implement CI/CD for data workflows.

Benefits

• Competitive salary; high ownership from day one.
• Fast decision cycles; remote-first with flexibility on hours/location.
• Direct access to founders; clear expectations and growth support.
• Work on complex, high-impact problems in a data-intensive industry.