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This range is provided by TalentDome Staffing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$150,000.00/yr - $150,000.00/yr
Direct message the job poster from TalentDome Staffing
SmartTech R&D Recruitment I Robotics, AI, IoT, Automation and Intelligent Systems I Founder @TalentDome
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.
Key Responsibilities
- 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.
Required Skills & Qualifications
- 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.
Technical Stack
- 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.
Preferred Experience
- 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.
What We Offer
- Total comp $150K.
- Meaningful equity in a high-growth company.
- A 100% fully remote work environment.
Seniority level
- Associate
Employment type
- Full-time
Job function
- Engineering, Information Technology, and Research
- Software Development and Financial Services