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.