Database Developer with Residential Mortgage exposure

Application Management Services LLC

New York, NY, United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Automation of Tests Microsoft Azure Cluster Analysis Databases Continuous Integration Data Integrity Data Warehousing Relational Databases Database Development Python (Programming Language)

+9 more

MySQL Performance Tuning Cloud Services SQL Stored Procedures SQL Databases Snowflake Generative AI Git Data Pipelines

Job description

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., 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.

Requirements

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.