Data Engineer, Sr.

Change Home Mortgage is a Community Development Financial Institution focused on providing digital-first banking and financial services to underserved communities. They are seeking a Senior Data Engineer to design, develop, and maintain data pipelines and ETL processes, ensuring data quality and governance while collaborating with various stakeholders.

Responsibilities:

• Commitment to and behavior modeling of the Company’s Core Values
• Collaborate with business stakeholders, analysts, and IT teams to gather requirements and deliver scalable data solutions that support strategic business initiatives
• Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load data from multiple internal and external sources
• Develop and optimize SQL Server and Snowflake-based data solutions, including database development, performance tuning, and query optimization
• Build and maintain data models and architectures that support analytics, reporting, and operational use cases
• Implement and manage enterprise data warehouse solutions and cloud-based data platforms
• Ensure data quality, consistency, and integrity through validation, monitoring, and automated checks
• Design and implement master data management (MDM) processes to ensure single sources of truth across systems
• Partner with application teams to integrate data systems and support end-to-end system workflows
• Maintain and enforce data governance standards, security policies, and compliance requirements
• Troubleshoot and resolve data-related issues, ensuring high system availability and performance
• Prepare documentation, data dictionaries, technical specifications, and operational procedures
• Serve as a technical expert and mentor to team members on data engineering best practices and technologies

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
• 10+ years of experience in data engineering, data warehousing, or database development
• Strong experience with SQL Server, including T-SQL development, indexing, stored procedures, and performance tuning
• Hands-on experience with Snowflake (or other cloud data warehouse platforms), including data modeling and optimization
• Proven expertise in building and managing ETL/ELT pipelines using modern data integration tools
• Strong knowledge of database architecture and design principles, including normalization, dimensional modeling, and scalability
• Experience implementing and maintaining Master Data Management (MDM) solutions and data governance practices
• Understanding data integration patterns, APIs, and real-time/streaming data processing
• Familiarity with cloud environments and distributed data systems
• Knowledge of systems development lifecycle (SDLC) methodologies
• Experience with data quality frameworks, monitoring, and troubleshooting techniques
• Strong analytical, problem-solving, and communication skills
• Ability to work in a fast-paced, collaborative environment and manage multiple priorities