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Job Summary
The Senior Data Engineer leverages expertise in Azure (or equivalent) cloud services and data engineering to design, implement, and optimize scalable data solutions that drive business value and insights.

Essential Duties and Responsibilities

• Designs and implements scalable ETL pipelines using Azure services (or equivalent cloud technologies)
• Implements and optimizes data warehouse architecture and performance
• Leads data integration projects and mentors junior engineers
• Establishes data quality standards and monitoring systems
• Collaborates with stakeholders to understand data requirements
• Develops and maintains documentation for data processes
• Performs miscellaneous duties as assigned

Position Requirements

Education

• Bachelor’s degree in computer science, information technology, or a related field, or equivalent related work experience required.

Experience

• Minimum of 5 years of progressive data engineering experience
• Minimum 2 years of mortgage industry experience

Functional/Technical Skills

• Azure Services: Data Factory, Synapse Analytics, Databricks, Logic Apps, Functions, Key Vault (or equivalent technologies from other cloud vendors)
• Programming: Python, PySpark, SQL, T-SQL, C#, .NET, Scala
• Database Systems: SQL Server, Azure Data Warehouse, MySQL, Oracle
• ETL/ELT Tools: Azure Data Factory, SSIS
• Version Control: Azure DevOps, Git
• Visualization Tools: PowerBI, Tableau
• Experience with cloud-based data warehouse architecture
• Strong knowledge of ETL/ELT processes and best practices
• Expertise in data modeling and optimization
• Excellent problem-solving and analytical abilities
• Strong communication and collaboration skills
• Experience with CI/CD pipelines and deployment automation
• Knowledge of data governance and security practices
• Familiarity with agile development methodologies

Environmental/Physical Demands
Work is typically performed in a standard office environment. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to sustain predictable work attendance, communicate with others, frequently required to stand, walk, sit, and use arms, hands and fingers to reach, handle or touch. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Pursuant to the Americans with Disabilities Act, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description is not designed to cover or contain a comprehensive listing of all activities, duties or responsibilities that are required of an employee. The Company reserves the right to amend or modify this document at any time and without notice.
Benefits
Our benefits package includes 3 comprehensive Cigna or Kaiser medical plans, dental, and vision insurance. We provide short term and long-term disability insurance, basic life insurance, 401(k), and 10 employer paid holidays. In addition, we offer supplemental benefits to include life insurance, critical illness and accident plans

• Designs and implements scalable ETL pipelines using Azure services (or equivalent cloud technologies)
• Implements and optimizes data warehouse architecture and performance
• Leads data integration projects and mentors junior engineers
• Establishes data quality standards and monitoring systems
• Collaborates with stakeholders to understand data requirements
• Develops and maintains documentation for data processes
• Performs miscellaneous duties as assigne