Senior Data Engineer - (Remote) at KBRA

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Senior Data Engineer - (Remote) at KBRA. . Location: Remote, United States. Position Title: 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). . Summary/Overview:. . KBRA.  (KBRA Holdings, LLC) is seeking an engaged and proactive Senior Data Engineer to work on our financial analytical system. We want someone who loves solving difficult problems, digs deeply to understand the domain in which they’re working, and excels at creating high-quality software in a collaborative environment.. . About the Team:. . We believe that small, empowered teams can do amazing things. Across the engineering organization, we work hard to make the best systems for our customers using modern engineering practices. We are intentional in our investments in time and effort around creating a safe and successful workplace for our team members. We understand software engineering goes beyond the 1’s and 0’s and prioritize concrete value for our customers.. . About the Job:. 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.. This role emphasizes collaboration with our technical and non-technical counterparts to learn our domain and its unique challenges, while delivering value to our customers. It also requires collaboration with our other engineering, design, product, and platform teams to develop, build, run, and support the system.. . About You:. You will be successful in this role if you. :. . . Develop, test, and maintain scalable Python applications.. . Able to work in a highly collaborative environment.. . 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.. . Has a sense of ownership and craftsmanship in legacy and green field codebases.. . 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.. . . 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.. . Relational and non-relational databases SQL, MongoDB, and/or Snowflake using Python.. . Designing data models for effective data storage and retrieval (preferably SQL, MongoDB, Snowflake).. . Debugging, issue resolution, and troubleshooting.. . Designing and troubleshooting ETL pipelines.. . Developing REST APIs using Python frameworks (preferably Flask).. . Publishing Python packages, maintaining them, and building Python CLI tools.. . Deploying REST APIs in containerized environments (Kubernetes), working with other developers in the team to integrate those APIs with web applications.. . Developing systems integrated with cloud services, such as for storage or secrets management (preferably AWS).. . . Nice to have skills:. . . Exposure to financial systems or corporate credit modeling is strongly preferred.. . Familiarity with UX design tools (Figma) and solid understanding of the design-engineering hand-off process. . Familiarity with deployment pipelines, CICD tools (preferably GitLab).. . Configuring observability and alerting services (preferably Datadog and Opsgenie).. . Containerized development and deployment (i.e. Docker, Kubernetes). . Writing infrastructure as code (preferably Terraform).. . Integrating managed authentication services (preferably Auth0).. . . Salary Range:. . The anticipated annual base salary range for this full-time position is $130,000 - $160,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors.. . 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. . . About Us:. . KBRA is a full-service credit rating agency registered in the U.S., the EU and the UK, and is designated to provide structured finance ratings in Canada. KBRA’s ratings can be used by investors for regulatory capital purposes in multiple jurisdictions.. . More Info:. . KBRA encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, and veteran status or any other basis prohibited by federal, state or local law.. .  . .  . . #LI-KS1. . #REMOTE