Real Estate Lending Data Engineer

BRMi•Pensacola, FL
•Hybrid

About The Position

BRMi is seeking a Real Estate Lending Data Engineer to support a large financial services client by designing, developing, and optimizing data pipelines and systems for data collection, connection, and storage. The role involves managing, interpreting, and deriving insights from data, implementing data-processing tasks, and ensuring data quality and system reliability. The engineer works under minimal supervision, applying a complete understanding of business needs and objectives to support projects that affect operational goals. The position requires advanced skills and proficiency with relevant procedures and techniques. This is a W2 opportunity; BRMi will not sponsor applicants for work visas. Eligibility requirements apply, and third parties are not accepted. The role is hybrid in Pensacola, Florida, three days per week. An in-person interview is required before an offer. The listed salary is $120,000–$130,000.

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 relevant 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, and 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.
  • Must be eligible under the stated eligibility requirements; third parties are not accepted.
  • Must be able to work on a W2 basis; visa sponsorship is not offered.
  • Must attend an in-person interview before an offer.

Responsibilities

  • Design, develop, and maintain data pipelines and workflows.
  • Collaborate with stakeholders to align data solutions with business needs and goals.
  • Design and 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, along with high performance and scalability of data systems.
  • 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service