Data Engineer

🕒 March 19

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Saaf Finance

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

💳 Fintech

☁️ SaaS

Artificial Intelligence • Fintech • SaaS

Saaf Finance is an AI-powered underwriting software company that automates mortgage loan underwriting and document data extraction for lenders. Its AI Underwriter supports a range of products (Non-QM, RTL, HELOC, CES, DSCR, Jumbo, Bank Statement) and integrates with loan origination systems and data vendors to provide structured, source-of-truth data, reduce fraud risk, and accelerate processing. Saaf delivers a B2B SaaS solution that uses OCR and LLMs and is trained on 200k+ loans to boost underwriting accuracy, speed, and scalability while cutting operational costs.

📋 Description

• Design, implement, and maintain ETL/ELT pipelines for structured and unstructured datasets from internal and external sources. • Build and optimize warehouses and marts (e.g., Snowflake, BigQuery) for analytics, reporting, and product use cases. • Ingest data from APIs and SaaS platforms (e.g., CRM, financial data APIs) into the core data platform. • Design conceptual, logical, and physical models to deliver scalable, consistent, high‑quality datasets. • Implement validation, schema management, and documentation to ensure accuracy and compliance. • Monitor and tune pipeline/warehouse performance for scalability and cost efficiency. • Apply data security and privacy controls aligned with financial regulations; ensure full transformation traceability. • Deliver clean, consistent datasets to analysts, PMs, and operations for fast, data‑driven decisions.

🎯 Requirements

• Bachelor’s/Master’s in CS, Engineering, or related field. • 3+ years in data engineering or similar backend data‑focused role. • Strong SQL and Python 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 and set up logging/monitoring/alerting for jobs.

🏖️ Benefits

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