Data Engineer

The Data Engineer will be the driving force behind our modern data infrastructure, leading a variety of high-impact projects across cloud architecture, regulatory compliance, automation, and business intelligence. This individual will own and manage the company’s entire data ecosystem, with full responsibility for ensuring data availability, scalability, security, and performance across platforms. From Snowflake to QuickBase to Encompass integrations, the Data Engineer will design and maintain the pipelines and tools that power both strategic initiatives and day-to-day operations.

This role is ideal for someone who wants to be hands-on with systems and build scalable solutions that fuel growth, enhance financial reporting, and improve operational efficiency in a fast-moving lending environment

• 4+ years in a data engineering, data platform, or similar role in financial services or tech
• Mastery of Snowflake, including warehouse optimization, data modeling, and security practices
• Proficient in SQL and Python for pipeline development, transformation, and automation
• Familiarity with Encompass (ICE Mortgage Technology) and lending-related data structures
• Strong understanding of data governance, privacy, and regulatory data in a financial services environment
• Experience automating workflows for financial operations such as escrow, investor reporting, and receivables
• Comfortable building and maintaining production-grade ETL/ELT pipelines across internal and third-party systems
• Git version control and CI/CD experience for deploying data workflows and tracking changes across environments
• Excellent written and verbal communication skills, with the ability to interface directly with business stakeholders, compliance teams, and leadership
• Proven ability to own, prioritize, and deliver data projects independently in a fast-paced, evolving environment
• A collaborative mindset and eager to support business units, troubleshoot issues, and be the point of contact for anything data-related