About Us
At Finance of America we help homeowners unlock the joy that comes from realizing the full potential of their retirement. Many people have significant wealth tied up in their homes and want to use it meaningfully in their next chapter. Our uniquerange of reverse mortgages allow homeowners 55 to access that wealth while maintaining control over their home and financial future. With options tailored to their unique goals we provide the financial flexibility they need to move forward with confidence.
Finance of America is guided by five values: We are customer obsessed they are why we exist. We raise the bar. We take extreme ownership. We practice genuine collaboration. And we unleash our excellence. Together we are actualizing our vision to be the most beloved brand for homeowners in their next chapter.
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Purpose of Role
Responsible for designing implementing and maintaining scalable and efficient data infrastructure and pipelines extract data from complex and diverse data sources and builds and manages data repositories.
Key Responsibilities and Expectations
- Designs and develops data pipelines to ingest transform and load data from various sources into the data ecosystem.
- Collaborates with Analytics Engineers and other cross-functional teams to ensure the data infrastructure meets the organizations needs and supports data-driven initiatives and enterprise decision-making.
- Writes complex SQL queries to move data from various source systems (ie. flat files SQL Server databases xls files JSON files etc.) into the data environments.
- Creates reconciliation processes to ensure data is loaded into the ODS completely and accurately.
- Creates error handling and logging processes in the data environments.
- Collaboration with Analytics Engineers and Data Owners to understand their data requirements and identify and prioritize opportunities to improve efficiencies and processes through integration.
- Designs and implements integration flows and enhancements including APIs and/or file-based integrations.
- Monitors performance activities and troubleshoots resolves and reports integration issues to impacted teams and stakeholders.
- Partners with the Analytics Engineers to ensure that the data is properly loaded into the data environments.
- Acts as a mentor to less experience Data Engineers.
- Makes necessary optimizations to ensure reliability and efficiency.
- Identifies and implements data quality and data governance processes to ensure data integrity and compliance with regulatory requirements.
- Maintains a customer-first mentality in collaboration with stakeholders leaders and fellow engineers.
- Performs other duties as assigned.
Reports To
- Director Data Engineering
Qualifications - Experience/Skills/Competencies
- Minimum 7 years of related experience in engineering operational data stores preferably in the financial services industry.
- Minimum 7 experience creating and modifying SQL Server Integration Services (SSIS) packages packages or Azure Data Pipelines.
- Prior experience with database structures data normalization de-normalization entity relationships ODS concepts data loading issues and best practices.
- Prior experience working in Microsoft Fabric.
- Familiarity with data warehousing concepts dimensional modeling and columnar databases.
- Prior experience with programming skills in languages such as Python Java or Scala and experience with SQL.
- Prior experience with cloud-based data platforms such as AWS Azure or Google Cloud.
- Understanding of data modeling database design principles and ETL/ELT processes.
- Prior experience with analytical and critical thinking and problem-solving to manipulate and analyze data.
- Detail oriented and focused.
- Analytical end-to-end thinking and problem-solving skills.
- Ability to work independently on concurrent tasks and adhere to deadlines.
- Experience working in an Agile environment and easily adapt to changing priorities.
- Strong interpersonal oral and written communication skills.
- Highly proficient with Microsoft Word Excel PowerPoint and Outlook.
- Intermediate skills in MS Excel including the ability to utilize functions such as V-Lookup H-Lookup Concatenating formulas and Pivot Tables.
Qualifications - Education - Required
- Bachelors Degree or comparable qualifications
Qualifications - Education - Field(s)/Profession(s)
- Computer Science Engineering or related field.
Compensation
The base salary range for this position is ($125000 - $150000) inclusive of all geographical differences in the labor market. The base salary for the position will be determined based on factors such as the candidates work location skills education and addition to those factors we believe in the importance of pay equity and consider the internal equity of our current team members in determining any final offer. We offer a competitive benefits package including health dental vision life insurance paid time-off benefits flexible spending account 401(k) with employer match and ESPP.
Additional Information
The application deadline for this role is 10/13/2025.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.
Finance of America is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color sex (including pregnancy) sexual orientation religion creed age national origin physical or mental disability gender identity and/or expression marital status veteran status or other characteristics protected by law.