Data Engineer

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We are recruiting a Senior Data Engineer with a rare combination of modern technical expertise (
Airflow, Neo4j
) and deep domain knowledge in the US Mortgage and Banking sector. You will be responsible for architecting next-generation data pipelines that transform complex, legacy mortgage data (MISMO standards) into scalable Knowledge Graphs and AI-ready datasets.

• Pipeline Architecture: Design, implement, and manage complex data pipelines using Apache Airflow
  , with an emphasis on custom DAG development, dependency management, scheduling, and monitoring. Design and implement data pipelines that ingest, validate, and normalize high-volume loan data, ensuring strict adherence to MISMO (Mortgage Industry Standards Maintenance Organization) standards.
• Graph Database Management: Develop, optimize, and maintain Neo4J graph database solutions for high-volume, mission-critical enterprise applications.
• Data Handling: Work with both structured and unstructured datasets, leveraging appropriate storage and retrieval strategies.
• Collaboration: Collaborate closely with MLEs, software engineers, and product teams for pipeline delivery and data product enablement.
• Quality Assurance: Ensure data quality, reliability, and security throughout ETL/ELT pipelines.
• Operations: Monitor and troubleshoot workflows, ensuring high availability and performance of data systems.
• Documentation: Document processes, schemas, and best practices to ensure efficient knowledge sharing.

• Proven experience working within Tier 1 US Banks or large-scale Mortgage Lenders.
• Deep understanding of the MISMO reference model and mortgage loan lifecycle data.

• Expert-level Apache Airflow skills (custom DAGs, Operators, Sensors).
• Production experience with Neo4j and Cypher query language.
• Strong Python and SQL proficiency.
• Cloud & Infrastructure: Hands-on experience with Microsoft Azure data platforms and containerization (
  Docker/Kubernetes
  ).
• Data Strategy: Experience with data modeling for complex financial instruments and knowledge graphs.

• Experience implementing Graph RAG (Retrieval Augmented Generation) for financial documents.
• Familiarity with regulatory reporting (HMDA, GSE delivery).
• 3+ years of specific Data Engineering experience
• ML Ops: Experience supporting machine learning workflows or analytical data products.
• CI/CD: Exposure to CI/CD pipelines for data engineering and workflow automation.
• Domain Knowledge: Familiarity with MISMO data structures and mortgage industry data models is highly valued.

• Total comp $150K.
• Meaningful equity in a high-growth company.
• A 100% fully remote work environment.

• Associate

• Full-time

• Engineering, Information Technology, and Research
• Software Development and Financial Services