Senior Data Engineer (Python) - Remote

About Encore Finance Encore Finance is a private real estate lender focused on building lasting relationships with real estate investors. Led by experienced real estate professionals, Encore provides financing solutions that help borrowers grow their businesses. As Senior Data Engineer you will own the architecture, development, and operation of our data platform. Reporting directly to COO, you will partner with business teams to turn operating priorities into practical solutions, building and implementing reporting infrastructure, data ingestion, document extraction, and workflow automation. This hands-on, individual contributor role combines technical direction with execution and requires close collaboration with colleagues to resolve data issues and deliver maintainable tools. Located in NYC (Mid-town) or Hollywood, FL office. Own the data platform. Develop and maintain pipelines across Zoho CRM, Azure, SharePoint, Microsoft 365, loan systems, servicing partners, and external data providers.

• Create consistent data models. Organize all source data with clear relationships, documented metrics, and historical records that support point-in-time reporting.
• Create reusable services and internal tools that collect, validate, and structure data. Apply AI-assisted extraction where appropriate, with validation and human review for uncertain results.
• Use orchestration software tools and custom code as appropriate.
• Establish data quality. Detect data defects and work with business teams to improve data hygiene at their source.
• Implement monitoring, failure alerts, recovery procedures, testing, and deployment processes. Maintain clear technical documentation and coordinate with technology and security partners on access controls and protection of sensitive information.
• Enable dashboards and analytics to deliver trusted datasets, data models, and APIs that support reporting, portfolio monitoring, and analytics. Partner with dashboard creators on definitions, performance, and access, and build lightweight interfaces where needed for data ingestion or validation.
• Guide technology and AI decisions. Partner with leadership on AI priorities and evaluate existing tools based on reliability, security, maintainability, and cost.

5-10+ years of data engineering experience, including ownership of production pipelines and data infrastructure.

• Strong SQL and Python skills with building integrations, transformations, and data quality checks.
• Experience designing and operating a cloud data warehouse or database platform.
• Demonstrated ability to deliver projects from business requirements and architecture through implementation, deployment, and ongoing support.
• Experience integrating APIs, databases, spreadsheets, and file-based sources.
• Familiarity with Microsoft 365 and SharePoint integrations or comparable enterprise environments.
• Experience with workflow orchestration, Git version control, testing, and deployment practices.
• Strong communication skills and the ability to work directly with non-technical stakeholders to understand processes and resolve data issues.
• A degree in computer science, information systems, or equivalent practical experience.

Mortgage lending, real estate finance, private credit, banking, or another financial services business.

• Loan origination, servicing, financing facilities, securitization, or investor reporting data.
• Building a data platform as an early or first engineering hire.
• Document processing and AI-assisted extraction, including accuracy evaluation and exception handling.
• Supporting business intelligence tools and collaborating with end-user stakeholders.

Eligible for discretionary annual performance bonus and Encore’s comprehensive benefits package which includes a generous employer contribution to medical, dental, vision insurance with HSA, FSA, Wellbeing benefits, 401k, pre-tax commuter benefit, Paid Time Off and 10 Paid Holidays. You will have meaningful responsibilities for Encore’s data platform, direct access to leadership, and a close partnership with investors. Your work will directly impact how teams operate, how senior management evaluates the business, and how AI and technology support the firm’s growth.