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Mortgage Data Analyst/SQL Data Warehouse Developer

SVS Group United States 🇺🇸 Remote

United States

Today

$50 - $75/hr Contract Data Analysis Data Analytics Data Warehouse

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Job Description

SVS Group is hiring a remote Mortgage Data Analyst/SQL Data Warehouse Developer to support the EPIC program transition from a customized LoanServ environment to an industry-standard SaaS platform. This contract position combines SQL data warehouse development with business analysis, migration support, and cross-workstream project coordination, with travel to Oklahoma City required during the project.

Role Focus

The role centers on designing and implementing data warehouse tables and backend data-layer solutions while also translating business needs into technical specifications. You will support solution design and validation across EPIC workstreams and help drive modernization and migration activities throughout the project lifecycle.

Responsibilities

Design SQL specifications for new data warehouse tables, including defining table structures, writing and optimizing queries, and supporting development and post-build testing
Collaborate with Corporate Technology teams to ensure accurate implementation of data models and warehouse solutions
Provide business analysis and project support across EPIC workstreams, including requirements gathering and documentation, solution design and validation, and testing oversight and coordination
Support migration and modernization efforts, including redesign of scripts and batch processes, data transformation and reporting solutions, and warehouse table and reporting enhancements
Ensure solutions align with business operations and workflows, risk management and compliance requirements, and flexibility for case-by-case operational scenarios
Assist in replacement or redesign of process batches and automation workflows, reporting and data pipelines, and operational and data-driven processes

Required Qualifications

Strong SQL expertise, including data modeling and query design
Experience designing and supporting data warehouse solutions
Recent, hands-on experience designing and owning stored procedures and data warehouse tables (not limited to consuming or extracting data)
Ability to operate independently at the data-layer level with minimal handoff
Capability to proactively escalate unresolved dependencies or barriers and drive issues to resolution
Focus on data architecture, development, and backend design, rather than report development or BI consumption
Ability to translate business requirements into technical specifications
Understanding of business processes and operational workflows
Experience with testing, validation, and quality assurance
Experience with LoanServ (highly preferred but not required)
Background in financial services, lending, or mortgage servicing
Experience supporting large-scale system migrations or SaaS transformations
Familiarity with batch processing, automation, and reporting systems
Strong analytical and problem-solving skills
Ability to bridge technical and business teams, including project coordination and stakeholder communication
Attention to detail with a focus on data accuracy and integrity
Not a purely technical SQL role, with an emphasis on understanding business operations and processes
Supports a multi-year enterprise transformation initiative (EPIC), with work across multiple domains including data, reporting, automation, and operational redesign

Technologies

Contract Details

Location: United States (remote)
Job Type: Contract
Minimum Experience: 3 years
Compensation: USD 50 - 75 per hourly

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life & Disability Insurances
Sign-on bonus of $500.00 (paid out on the paycheck following the pay period in which you complete 90-days of employment)
$500.00 bonus upon completion of the project, including any extensions offered by the client (paid out in your final paycheck with the company)

Travel Requirements

This is a remote position, but travel to Oklahoma City will be required throughout the project.

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