Real Estate Lending Data Engineer
About The Position
BRMi is seeking a Real Estate Lending Data Engineer (Level 3) to support a large financial services client. The role designs, develops, and optimizes data pipelines and systems for collecting, connecting, and storing data; manages and interprets data to derive insights; and implements data-processing tasks while ensuring data quality and system reliability. The engineer works under minimal supervision, applies a complete understanding of business needs and objectives, and supports projects that affect operational goals. The position requires an advanced skill set and proficiency with relevant procedures and techniques. The role supports mortgage data platforms and data pipelines across the lending technology ecosystem, develops APIs and integrations for secure and reliable data exchange, and leads workflow optimization and small projects. It also involves building relationships with team members and subject matter experts, and mentoring junior data engineering team members. This is a W2 opportunity only. BRMi will not sponsor work visas. An in-person interview is required before an offer.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- 10+ years of experience in data engineering.
- Complete knowledge and understanding of the business area or specialization.
- Advanced knowledge of programming languages, including Python, Java, and SQL.
- Experience with data management and processing tools.
- Experience with data integration and processing tools.
- Experience with cloud services such as Databricks and Azure.
- Advanced problem-solving skills.
- Advanced communication and collaboration skills, with the ability to manage multiple priorities effectively.
- Advanced skill in data system design and a solid understanding of data warehousing, ETL processes, and big data technologies.
- Advanced knowledge of data engineering principles, technologies, and architecture.
Responsibilities
- Design, develop, and maintain data pipelines and workflows.
- Collaborate with stakeholders to align data solutions with business needs and goals.
- Build robust pipelines for data collection, connection, and storage.
- Develop and maintain APIs and integrations for secure, reliable data exchange across internal and external systems.
- Support and enhance mortgage data platforms and pipelines across the lending technology ecosystem.
- Develop and enforce data engineering policies and best practices to ensure data integrity.
- Ensure data quality and performance at scale, and ensure data systems are highly performant and scalable.
- Lead optimization of existing data workflows and support system reliability.
- Build working relationships with team members and subject matter experts.
- Lead small projects and initiatives, including planning and execution.
- Mentor and guide junior data engineering team members.
Benefits
- Comprehensive medical, dental, and vision insurance.
- Employer-paid life insurance.
- Employer-paid short-term and long-term disability insurance.
- 401(k).
- Paid time off, including vacation leave, sick leave, and 11 paid holidays.
- Educational assistance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
