Key skills
PythonAWSRESTful APIsRelational databasesFlaskNon-relational databasesDebuggingApplication securityPragmatic mindsetGenerative AI toolsUX design toolsContainerizationInfrastructure as CodeCICD toolsFinancial systemsMentorshipCollaborationSQLAIGenerative AISnowflakeAmazon Web ServicesTerraformKubernetesDockerMongoDBSQL ServerRESTfulFigma
About this role
KBRA Holdings LLC is seeking an engaged and proactive Senior Python Data Engineer to work on their financial analytical system. The role involves developing scalable Python applications, collaborating with various teams, and contributing to the design and architecture of new features and systems.
Responsibilities:
- Develop, test, and maintain scalable Python applications
- Collaborate with product managers, designers, and other engineers to deliver high-quality software
- Write clean, efficient, and reusable code following best practices
- Participate in code reviews to ensure code quality and share knowledge with the team
- Troubleshoot and debug issues in a timely manner
- Contribute to the design and architecture of new features and systems
- Have a sense of ownership and craftsmanship around the code base and your work
- Enjoy helping other developers grow and learn new technologies
- Display a strong track record of mentorship with engineers at various levels
- Are mindful of application security and performance
- Take pride in learning, and want opportunities to learn throughout your day-to-day
- Possess a pragmatic mindset
Requirements:
- 3–6 years of professional software engineering experience, with a strong portfolio of full stack development work
- Proficiency in Python, including experience with web frameworks such as Flask
- Cloud experience, particularly with AWS (Amazon Web Services)
- Experience integrating frontend applications with RESTful APIs and backend services
- Relational and non-relational databases (SQL Server, Snowflake and MongoDB)
- Debugging, issue resolution, and troubleshooting
- Familiarity with UX design tools (Figma) and solid understanding of the design-engineering hand-off process
- Containerized development and deployment (i.e. Docker, Docker swarm, Kubernetes)
- Infrastructure as Code (Terraform)
- Familiarity with deployment pipelines, CICD tools
- Exposure to financial systems or credit modeling is strongly preferred
- Familiarity with Generative AI tools such as ChatGPT for research, data insights, and general productivity is a plus