Data Engineer III

Job not on LinkedIn

🕒 March 28

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Finance of America

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💸 Finance

🏦 Banking

Finance • Banking

<Finance of America> Finance of America is a U. S. -based mortgage lender specializing in reverse mortgages and home equity solutions for older homeowners. The company offers proprietary and government-backed products (including HomeSafe and HECM), lines of credit and loans up to $4M, borrower education and calculators, and partner tools for financial professionals and wholesale partners. It is a licensed mortgage banker focused on helping homeowners (typically 55+) access home equity for retirement, home improvements, or living expenses while providing consumer protections and counseling.

📋 Description

• Design, implement, and maintain scalable and efficient data infrastructure and pipelines • Extract data from complex and diverse data sources, and build and manage data repositories • Design and develop data pipelines to ingest, transform, and load data from various sources into the data ecosystem • Collaborate with Analytics Engineers and other cross-functional teams to ensure the data infrastructure meets the organization's needs • Support data-driven initiatives and enterprise decision-making • Write complex SQL queries to move data from various source systems into the data environments • Create reconciliation processes to ensure data is loaded into the ODS completely and accurately • Create error handling and logging processes in the data environments • Collaborate with Analytics Engineers and Data Owners to understand their data requirements • Identify and prioritize opportunities to improve efficiencies and processes through integration • Design and implement integration flows and enhancements, including APIs and/or file-based integrations • Monitor performance activities and troubleshoot, resolve, and report integration issues to impacted teams and stakeholders • Partner with the Analytics Engineers to ensure that the data is properly loaded into the data environments • Act as a mentor to less experience Data Engineers • Make necessary optimizations to ensure reliability and efficiency • Identify and implement data quality and data governance processes to ensure data integrity and compliance with regulatory requirements • Maintain a customer-first mentality in collaboration with stakeholders, leaders, and fellow engineers

🎯 Requirements

• Bachelor’s degree in Engineering (any field), Information Systems, Computer Science, or a closely related field of study • Seven (7) years of experience in the job offered or as a SQL Server, Data Warehousing Developer, Mobile Test Engineer or related • Six (6) years of experience with: SQL Server Integration Services (SSIS) packages; Database structures, data normalization, de-normalization, entity relationships, ODS concepts, data loading issues, and best practices; Data Warehousing concepts, dimensional modeling, and columnar databases; Programming languages including Python, Java, Scala and SQL; Cloud-based data platforms such as AWS, Azure and Google Cloud; Data modeling, database design principles, and ETL/ELT processes; and Microsoft Excel including utilizing functions such as V-Lookup, H-Lookup, Concatenating formulas and Pivot tables. • Must have three (3) years of experience with: Financial Technology and Reporting products: ERP, EPM, and FP&A.

🏖️ Benefits

• Telecommuting permitted