Python Developer II

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🔥 3 minutes ago

🤠 Texas – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

🦅 H1B Visa Sponsor

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Logo of Finance of America

Finance of America

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

• Participate in the optimization and continuous improvement of the software development process. • Contribute to an analytics program by developing new and enhancing existing applications. • Participate in evaluating and improving existing systems and their documentations. • Experiment and implement new technologies and techniques in the cloud. • Develop and maintain software in Python. • Write re-usable, testable and efficient code. • Resolve problems with software functionality and suggest improvements. • Work closely with junior members of the team and provide feedback on their work.

🎯 Requirements

• Bachelor’s degree in Computer Science or a closely related field of study and three (3) years of experience in the job offered or as a Data Scientist, Software Engineer or related. • In the alternative, the employer will accept a Master’s degree in Computer Science or a closely related field of study and one (1) year of experience in the job offered or as a Data Scientist, Software Engineer or related. • Object Oriented Programming in Python and JavaScript; • Scalable data application design; • Containerization including Docker and Kubernetes; • Integration with CICD pipelines; • Testing frameworks including PyTest; • Data libraries including Pandas, NumPy and scikit-learn; • AWS Cloud Compute including ECS and Lambda; • Databases including PostgreSQL and MSSQL; • Rest APIs; • Microservice architecture.

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