ZipRecruiter

Log In

1

Mortgage Database Jobs (NOW HIRING)

RAPS Consulting Inc

Database Developer

Manhattan, NY · On-site

Role- Residential Mortgage Database Developer Location: Chicago or NY Department: Global Technology - Residential Mortgage Business Level: Developer About the Role We are seeking a motivated Database ...

Nations Mortgage LLC

Be Seen First

Mortgage Sales Coordinator -- No Experience Required

Troy, MI · On-site

$45K - $200K/yr

Large lender database and CRM platform * Full coverage for mortgage licensing fees and related training classes. We are committed to supporting your professional development by covering all costs ...

New

next page

Showing results 1-20

All JobsMortgage Database Jobs

Mortgage Database information

See salary details

$12

$20

$34

How much do mortgage database jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for mortgage database in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What is the difference between Mortgage Database vs Mortgage Underwriter?

AspectMortgage DatabaseMortgage Underwriter
Primary RoleMaintains and updates mortgage data, manages databases, supports data analysisEvaluates loan applications, assesses risk, approves or denies mortgage loans
Required SkillsDatabase management, data entry, SQL, attention to detailFinancial analysis, risk assessment, knowledge of lending guidelines
Work EnvironmentOffice-based, data centers, remote optionsOffice or remote, often in financial institutions or lending companies
CertificationsNone typically required, database certifications helpfulMortgage licensing, underwriting certifications often preferred

Mortgage Database professionals focus on managing mortgage data systems, while Mortgage Underwriters evaluate individual loan applications. Both roles are essential in the mortgage industry but serve different functions related to data management versus loan approval processes.

What does a mortgage database analyst do?

A mortgage database analyst manages and analyzes data related to mortgage loans, including borrower information, loan performance, and market trends. They use database management tools and data analysis skills to support decision-making, ensure data accuracy, and optimize mortgage processes within financial institutions.
More about Mortgage Database jobs

What cities are hiring for Mortgage Database jobs?

Cities with the most Mortgage Database job openings:

What states have the most Mortgage Database jobs?

States with the most job openings for Mortgage Database jobs include:

What job categories do people searching Mortgage Database jobs look for?

The top searched job categories for Mortgage Database jobs are:

Mortgage Database jobs near you
Infographic showing various Mortgage Database job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Database Developer

RAPS Consulting Inc

Manhattan, NY • On-site

Other

Re-posted 7 days ago

Job description

Role- Residential Mortgage Database Developer

Location: Chicago or NY

Department: Global Technology - Residential Mortgage Business

Level: Developer

About the Role

We are seeking a motivated Database Developer to join our technology team supporting the Residential Mortgage business. You will work alongside experienced engineers to design, develop, and optimize database solutions across Snowflake, Python, and MySQL, powering data warehouse sourcing, reconciliation, and analytics for Residential Mortgage teams. This is a great opportunity to grow across the full data technology stack at the intersection of finance and technology, with growing exposure to cloud data platforms and generative-AI tools and workflows.

Key Responsibilities

Data & Infrastructure

  • Design, build, and maintain data pipelines using Python, Snowflake, and MySQL to load, store, transform, and export data.
  • Support Snowflake infrastructure setup, including virtual warehouse configuration, Snowpipe ingestion, and cost or performance optimization.
  • Ensure data integrity, quality, and performance across source systems and downstream consumers.
  • Troubleshoot and resolve production issues; improve performance, reliability, and observability of data jobs and pipelines.

Application & Database Development

  •  Design, develop, and enhance databases and data models supporting Residential Mortgage data sourcing, mastering, and reconciliation.
  •  Design and optimize SQL schemas, stored procedures, and queries across Snowflake and MySQL environments.

Software Development Lifecycle

  •  Work across the full SDLC covering requirements, design, implementation, testing, deployment, and support.
  •  Implement unit, integration, and data quality tests; apply Test Driven Development where appropriate.
  •  Participate in code reviews and maintain technical documentation such as data models, architecture, and mapping specifications.

Collaboration & Agile Practices

  •  Participate in agile ceremonies such as stand-ups, sprint planning, and retrospectives.
  •  Partner with engineers, data stewards, and business stakeholders to translate data requirements into technical solutions.
  •  Collaborate with cross functional teams during handovers, knowledge transfer, and documentation initiatives.
  •  Work independently and engage in business and client interactions as needed, partnering directly with Residential Mortgage business teams.

Tooling & Productivity

  •  Use Git and Azure DevOps for version control, work tracking, and CI/CD.
  •  Use AI coding tools such as GitHub Copilot and Claude Code to boost productivity while maintaining strong independent coding and debugging skills.

Qualifications

  • Bachelor''''s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Proficiency in Python, with experience building data pipelines, automation scripts, and or APIs.
  • Strong understanding of SQL and relational database design; hands on experience with Snowflake and MySQL required.
  • Familiarity with Snowflake concepts such as virtual warehouses, clustering, Snowpipe, and Snowpark is a plus.
  • Familiarity with Git, Azure DevOps, and CI/CD pipelines.
  • Experience with, or strong interest in, agile software development practices.
  • Interest in applying generative AI tools to database engineering workflows.
  • Strong problem solving skills, attention to detail, and ability to collaborate across teams.
  • Interest in financial services or mortgage technology is a plus, though not required.

Apply