SR ETL DEVELOPER

Lakeview Loan Servicing • Coral Gables, FL

11h • Remote

About The Position

Lakeview Loan Servicing, LLC is seeking a Senior ETL Developer to design, develop, and maintain data pipelines and ETL (extract, transform, and load) processes. The role optimizes and enhances existing ETL processes for performance and scalability, and supports high-level SSIS and Azure Data Factory work for Data Warehouse and general Data Integration efforts.

The developer partners with other developers and IT resources on ETL initiatives and collaborates with data architects, data analysts, and business stakeholders to understand data requirements and translate them into ETL solutions. The role integrates data from diverse sources, including databases, APIs, and flat files, and implements data quality checks and validation processes to maintain consistency, accuracy, and integrity across ETL pipelines.

The position is based in Coral Gables, Florida, and is eligible for remote work with manager approval. Hours are Monday through Friday, 40 hours per week.

Requirements

• Bachelor’s degree or foreign equivalent in Information Technology Management, Computer Information Sciences, Computer Science, Data Science, or a related field, plus 5 years of hands-on experience designing and developing large-scale database solutions; alternatively, a master’s degree or foreign equivalent in one of these fields plus 3 years of that experience.
• At least 3 years of experience working within an Azure ecosystem, specifically Azure Data Factory, Azure SQL, Linked Services, and storage accounts, as well as ETL/ELT practices and building and architecting data pipeline solutions.
• Experience in data warehouse, big data, and data integration practices.
• Knowledge of cloud-based ETL solutions such as Azure Data Factory or AWS.
• Experience with SQL and database management, including Oracle, SQL Server, or MySQL.
• Experience in data quality, source systems analysis, business rules validation, and source/target mapping.

Responsibilities

• Design, develop, and maintain data pipelines and ETL processes.
• Optimize and enhance existing ETL processes for performance and scalability.
• Support high-level SSIS and Azure Data Factory for Data Warehouse and general Data Integration efforts.
• Partner with other developers and IT resources regarding ETL initiatives.
• Collaborate with data architects, data analysts, and business stakeholders to understand data requirements and translate them into ETL solutions.
• Integrate data from databases, APIs, and flat files while ensuring data consistency and accuracy.
• Implement data quality checks and validation processes to ensure data integrity across ETL pipelines.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior