Senior Data Engineer - (Remote)

Entity: KBRA Holdings LLC Employment Type: Full-Time Location: Remote (Remote only in CA, CO, DC, FL, IL, MD, NJ, MA, NY, PA, SC, TX, VA)

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Position Overview

KBRA (KBRA Holdings, LLC) is seeking an engaged and proactive Senior Data Engineer to work on our financial analytical system. We are looking for an individual who excels at solving complex problems, possesses a deep understanding of the domain, and thrives in creating high-quality software within a collaborative environment.

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About the Team

We believe in the power of small, empowered teams to achieve remarkable results. Our engineering organization is dedicated to building exceptional systems for our customers using modern engineering practices. We prioritize creating a safe and successful workplace, understanding that software engineering encompasses more than just code – it's about delivering tangible value to our customers.

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About the Job

This role involves joining an established team with a clear product vision. The team operates collaboratively, with an expectation for active participation in all phases of system design, delivery, and support. A key aspect of this position is collaborating with both technical and non-technical stakeholders to understand our domain and its unique challenges, while simultaneously delivering value to our customers. This also requires close collaboration with other engineering, design, product, and platform teams to develop, build, run, and support the system.

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About You

You will be successful in this role if you:

• Develop, test, and maintain scalable Python applications.
• Are adept at working in a highly collaborative environment.
• Collaborate effectively with product managers, designers, and other engineers to deliver high-quality software.
• Write clean, efficient, and reusable code following best practices.
• Actively participate in code reviews to ensure code quality and share knowledge.
• Troubleshoot and debug issues in a timely manner.
• Contribute to the design and architecture of new features and systems.
• Demonstrate a strong sense of ownership and craftsmanship in both legacy and greenfield codebases.
• Enjoy mentoring other developers and fostering their growth in new technologies.
• Possess a strong track record of mentorship for engineers at various levels.
• Are mindful of application security and performance.
• Take pride in continuous learning and seek opportunities for growth in your day-to-day work.
• Possess a pragmatic mindset.

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Must-Have Skills

• 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 or Dash.
• Experience integrating frontend applications with RESTful APIs and backend services.
• Experience with relational and non-relational databases like SQL, MongoDB, and/or Snowflake using Python.
• Experience designing data models for effective data storage and retrieval (preferably SQL, MongoDB, Snowflake).
• Proficiency in debugging, issue resolution, and troubleshooting.
• Experience designing and troubleshooting ETL pipelines.
• Experience developing REST APIs using Python frameworks (preferably Flask).
• Experience publishing Python packages, maintaining them, and building Python CLI tools.
• Experience deploying REST APIs in containerized environments (Kubernetes), and collaborating with other developers to integrate those APIs with web applications.
• Experience developing systems integrated with cloud services, such as for storage or secrets management (preferably AWS).

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Nice-to-Have Skills

• Exposure to financial systems or corporate credit modeling is strongly preferred.
• Familiarity with UX design tools (Figma) and a solid understanding of the design-engineering hand-off process.
• Familiarity with deployment pipelines and CI/CD tools (preferably GitLab).
• Experience configuring observability and alerting services (preferably Datadog and Opsgenie).
• Experience with containerized development and deployment (e.g., Docker, Kubernetes).
• Experience writing infrastructure as code (preferably Terraform).