Data Engineer - Mortgage Technology

• Develop and maintain data pipelines: Design, develop, and optimize ETL pipelines that extract, transform, and load mortgage-related data from various sources like JSON, XML, and databases into scalable data stores.
• Work on data mapping and transformation: Collaborate with domain experts to ensure proper mapping of mortgage data fields (MISMO standards) from third-party sources into the company's data schema.
• Architect scalable data solutions: Utilize best in class technology to create efficient, scalable data processing systems.
• Collaborate with cross-functional teams: Work closely with product managers, senior engineers, and founders to understand the needs and contribute to designing software and data solutions that meet the organization’s objectives.
• Ensure data governance and quality: Implement efficient data governance processes, ensuring data integrity, security, and compliance across multiple data sources.
• Real-time data processing: Design systems for real-time data streaming, ensuring smooth integration with other systems and services.
• Data pipeline optimization: Monitor and improve the performance of existing data pipelines and resolve data-related issues in collaboration with backend and database teams.
• Stay updated on technology: Follow advancements in data engineering tools and techniques, adopting best practices to improve data processing, storage, and analysis.

Requirements

• 5+ years of experience as a Data Engineer, focusing on large-scale data solutions.
• Mortgage industry experience: Prior experience working with mortgage data systems financial services.
• Proficiency in data processing tools: Hands-on experience with cloud services like Snowflake, S3, along with Redshift, Glue, etc.
• Strong SQL/NoSQL skills: Familiarity with databases such as PostgreSQL to ensure accurate data handling and storage.
• Experience with microservices: Knowledge of microservices architecture and real-time data processing using queues and pub-sub technologies.
• Knowledge of ETL processes: Deep understanding of ETL workflows, with the ability to optimize and troubleshoot data pipelines.
• Programming skills: Experience with programming languages such as Python (or Javascript) for developing data solutions.
• Familiarity with MISMO standards: Knowledge of the MISMO (Mortgage Industry Standards Maintenance Organization) data schema is preferred.

Preferred:

• Experience working with Terraform or similar infrastructure automation tools.
• Prior experience at OCR or AI-based data extraction companies for processing mortgage-related documents.
• Knowledge of Agile methodologies.

Benefits

• Make a Real Impact: Your daily contributions will directly impact our product, and you'll have the opportunity to make meaningful contributions from day one.
• Your Ideas Matter: At Saaf Finance, we value every voice. Your suggestions and ideas are always heard and can shape the direction of the company and our products.
• Flexible Work Culture: We offer a flexible working environment, allowing you to balance your professional and personal life effectively. Work remotely or adjust your hours as needed, as long as your team goals are met.
• Career Growth: We believe in supporting continuous growth. You'll have access to learning and development opportunities to help you advance your career.
• Inclusive Culture: We are a team built on mutual trust and respect. Our feedback culture ensures you have the support and space to grow and develop professionally.
• Competitive Salary & Benefits: In addition to a competitive salary, we offer performance-based bonuses and other perks to reward your contributions.
• Collaborative Environment: Join a high-trust, transparent team where collaboration is key, and everyone works together to meet collective goals.
• Work from Home Setup Budget: We care about your health and well-being while working remotely, which is why we offer a budget for your home office setup to ensure you have a comfortable and productive workspace.