Real Estate Lending Data Engineer

BRMi • Vienna, VA

1d • Hybrid

About The Position

BRMi is seeking a Level 3 Real Estate Lending Data Engineer to support a large financial services client. The role designs, develops, and optimizes data pipelines and systems for collecting, connecting, and storing data, and manages, interprets, and derives insights from data. It 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 advanced proficiency with relevant procedures and techniques.

This is a hybrid position in Vienna, Virginia, with three days per week in person. An in-person interview is required before an offer. This is a W-2 opportunity only; BRMi will not sponsor work visas. Eligibility requirements apply, and third parties are not accepted.

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 such as 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 ensure data solutions align with business needs and goals.
• Design and build robust data 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 data 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.
• Ensure high performance and scalability of data systems.
• Help with the collection, connection, and storage of data.
• Lead efforts to optimize existing data workflows and ensure 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior