Real Estate Lending Data Engineer

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

Overview

BRMi is seeking a Real Estate Lending Data Engineer to support a large financial services client to design, develop, and optimize data pipelines and systems for the collection, connection, and storage of data. Manage, interpret, and derive insights from data. Implement data processing tasks, ensuring data quality and system reliability. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and techniques.

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 (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
• Educational Assistance

ELIGIBILITY REQUIREMENTS APPLY. NO THIRD PARTIES.

Salary

Salary: $120-130K

Hybrid in Pensacola, FL 3 days per week.

• An in-person interview will be required for this position prior to any offer.**

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 to support 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, taking a leadership role in planning and execution
• Mentor and guide junior data engineering team members

Qualifications

• 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 business area/specialization
• Advanced knowledge of programming languages (Python, Java, SQL)
• Experience with data management and processing tools
• Experience with data integration and processing tools
• Experience with cloud services (Databricks, Azure, etc.)
• Advanced problem-solving skills
• Advanced communication, collaboration skills and the ability to manage multiple priorities effectively
• Advanced skill in data system design and solid understanding of data warehousing, ETL processes, and big data technologies
• Advanced knowledge of data engineering principles, technologies, and architecture
• BRMi will not sponsor applicants for work visas for this position.**
• This is a W2 opportunity only**

EOE/Minorities/Females/Vet/Disabled

We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.