Data Engineer

Job description

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.