Data Engineer

About Saaf Finance
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.

What you’ll do 

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

What you’ll bring 

• 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.

Nice to have

• Experience building agentic workflows and orchestrating multi‑step automated processes on real‑time data.
• Familiarity with data engineering patterns/infrastructure for AI‑powered tools and automation platforms.
• Work with financial datasets/APIs in high‑compliance environments.
• Understanding of GDPR/CCPA and data privacy best practices.

Qualifications

• Bachelor’s/Master’s in CS, Engineering, or related field.
• 3+ years in data engineering or similar backend data‑focused role.
• Track record of delivering production‑grade pipelines at scale; collaborative with PMs, data scientists, and full‑stack engineers; startup mindset.

Why Saaf Finance

• 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.