Senior Real Estate Lending Data Engineer – Hybrid Pensacola

BRMi; Pensacola (FL); Hybrid; USD 120,000 - 130,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Employer-Paid Life Insurance

Disability Insurance

401(k)

PTO + 11 Paid Holidays

Educational Assistance

Job summary

BRMi is seeking a Real Estate Lending Data Engineer to design, develop, and optimize data pipelines for collecting, connecting, and storing mortgage data. You will work to ensure data quality and system reliability, collaborating with stakeholders to align data solutions with business objectives.

The role requires 10+ years in data engineering, expertise in Python/Java/SQL, cloud services, and strong leadership and mentoring skills.

Qualifications

• Bachelor’s degree required in Computer Science, Engineering, Information Systems, or related field.
• 10+ years of experience in data engineering.
• Advanced knowledge of programming languages (Python, Java, SQL).
• Experience with cloud services (Databricks, Azure).

Responsibilities

• Design, develop and maintain data pipelines and workflows.
• Collaborate with stakeholders to ensure data solutions align with business needs and goals.
• Develop and maintain APIs and integrations to support data exchange across systems.
• Support and enhance mortgage data platforms and data pipelines across the lending technology ecosystem.
• Lead small projects and initiatives with leadership in planning and execution.
• Mentor and guide junior data engineering team members.

Skills

Data engineering

Python

Java

SQL

Data modeling

Cloud services

ETL processes

Big data

Problem solving

Communication

Leadership

Mentoring

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

Tools

Databricks

Azure

Data pipelines tools

Job description

BRMi is seeking a Real Estate Lending Data Engineer to design, develop, and optimize data pipelines for collecting, connecting, and storing mortgage data. You will work to ensure data quality and system reliability, collaborating with stakeholders to align data solutions with business objectives.

The role requires 10+ years in data engineering, expertise in Python/Java/SQL, cloud services, and strong leadership and mentoring skills.