[Hiring] Senior Python Data Engineer @KBRA

Role Description

This role involves joining an existing team with a well-defined product vision. This team operates collaboratively, and there is an expectation to get involved in all aspects of design, delivery, and support of our systems.

• 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.
• Familiarity with Generative AI tools such as ChatGPT for research, data insights, and general productivity is a plus.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Competitive benefits and paid time off.
• Paid family and disability leave.
• 401(k) plan, including employer match (100% vested).
• Educational and professional development financial assistance.
• Employee referral bonus program.