Real Estate Lending Data Engineer

Brooklyn Arts Council; Vienna (VA); Hybrid; USD 120,000 - 154,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Employer-paid life insurance

Disability insurance (short & long)

401(k)

PTO + 11 holidays

Educational assistance

Job summary

BRMi is seeking a Real Estate Lending Data Engineer (Level 3) to design, develop, and optimize data pipelines and systems for collection, connection, and storage of data in a mortgage data ecosystem. The role emphasizes data quality, reliability, and collaboration with stakeholders to meet business objectives.

The ideal candidate has a strong background in data engineering, cloud platforms, data warehousing, and ETL, with leadership capabilities to guide junior engineers and drive project

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 10+ years of experience in data engineering.
• Proficient in Python, Java, and SQL.
• Experience with cloud data platforms ( Databricks, Azure ).
• Strong knowledge of data warehousing, ETL processes, and big data technologies.

Responsibilities

• Design, develop and maintain data pipelines and workflows.
• Collaborate with stakeholders to align data solutions with business needs.
• Develop and maintain APIs and integrations for secure data exchange.
• Support and enhance mortgage data platforms and data pipelines.
• Lead small projects and initiatives, mentoring junior engineers.

Skills

Python

Java

SQL

Data warehousing

ETL

Big data

Leadership

Communication

Cloud computing

APIs

Education

Bachelor's degree in CS/Engineering/IS

Tools

Databricks

Azure

Job description

Overview

BRMi is seeking a Real Estate Lending Data Engineer (Level 3) 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: $120-154K

Hybrid in Vienna VA 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.