Real Estate Lending Data Engineer

Brooklyn Arts Council; Pensacola (FL); Hybrid; USD 120,000 - 130,000; Full time

Benefits offered by this job

Medical Insurance

Life Insurance

Disability Insurance

401(k)

PTO & Holidays

Educational Assistance

Job summary

BRMi is seeking a Real Estate Lending Data Engineer to design, develop, and optimize data pipelines and systems for mortgage data across the lending technology ecosystem. You will collaborate with stakeholders to ensure data solutions meet business needs and deliver scalable, reliable data exchanges.

The role requires 10+ years in data engineering, strong programming skills (Python/Java/SQL), and hands-on experience with Databricks and Azure.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 10+ years of experience in data engineering.
• 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 ability to manage multiple priorities effectively.
• Advanced knowledge of data system design and data warehousing, ETL, 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 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

Skills

Python

Java

SQL

Data pipelines

Data integration

Education

Bachelor's degree in Computer Science/Engineering/Information Systems

Tools

Databricks

Azure

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.

ELIGIBILITY REQUIREMENTS APPLY. NO THIRD PARTIES.

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

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.