Saaf Finance is building the AI workforce for the mortgage industry, focusing on reimagining how loans are underwritten and processed.
The company is looking for a Data Engineer who enjoys solving complex data challenges and wants to shape the infrastructure in a data-intensive industry.
As a Data Engineer, you will own the data backbone of the AI-driven platform, ensuring data is accurate, reliable, and available in real-time.
This hands-on role involves close collaboration with engineering, product, and data teams to design and operate production-grade infrastructure.
Key responsibilities include developing data pipelines, building and optimizing data warehouses, integrating data from various sources, and ensuring data quality and governance.
The role is ideal for someone who enjoys building from scratch and is excited to innovate financial workflows at scale.
Requirements:
A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required.
A minimum of 3 years of experience in a data engineering or similar backend data-focused role is necessary.
Proven track record of delivering production-grade data pipelines at scale is essential.
Experience collaborating closely with product managers, data scientists, and full stack engineers is required.
Strong SQL and Python development skills for data transformation and automation are necessary.
Proficiency with cloud platforms (AWS preferred) and serverless data services is required.
Strong experience with data warehouse technologies (Snowflake preferred) is necessary.
Skilled in API integrations and ingestion from third-party systems is required.
Familiarity with data modeling techniques such as Kimball/Star schema and Data Vault is necessary.
Experience implementing CI/CD practices for data workflows is required.
Ability to set up logging, monitoring, and alerting for data jobs is necessary.
A startup mindset that is hands-on, resourceful, and comfortable in a fast-paced environment is essential.
Benefits:
The position offers a competitive salary.
Employees will have high ownership from day one, directly shaping core systems and products.
The work environment is fast-paced with quick decision cycles and minimal bureaucracy.
The team operates on a remote-first basis, providing flexibility on work hours and location.
Employees will have direct access to founders and cross-functional teams, ensuring no layers or silos.
Clear expectations, regular feedback, and support for professional growth are provided.
Employees will work on real problems in a complex, high-impact industry.