Data Engineer - Mortgage Technology

October 19

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Saaf Finance

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Description

• 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.