Senior Data Engineer - (remote)
Remote, United States
Full Time Senior-level / Expert USD 115K - 140K
Kroll Bond Rating Agency
KBRA is a leading Nationally Recognized Statistical Ratings Organization. Find the most relevant and up-to-date credit ratings research here! Learn more!Position Title: Senior Data Engineer (remote)
Entity: KBRA Holdings
Employment Type: Full-Time
Location: Remote (Remote only: 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 Full Stack Senior Software 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 is able to create high quality software in a collaborative environment. This remote position is for someone located in any of our registered states as listed above.)
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 to succeed. We understand that software development and engineering go beyond the 1’s and 0’s and strive to root it fully into valuable outcomes for our customers.
Our engineering team is a highly collaborative unit that is responsible for creating the web app and backend API for our financial analytics platform. Working with our product team, the team builds toward the vision of delivering a high quality and efficient user interface for our analytics customers. We are growing in this space and looking to best our competitors through improved technology and user experience.
About the Job
This role involves joining an existing team that is building towards a product vision. This team operates collaboratively and there is an expectation to get involved in all aspects of design, delivery, and support of the Systems. The role is focused around working with the entire team to add new, and enhance existing, product features. We also expect an eye for technical quality that continues to improve as the product matures.
This role will require an emphasis on collaboration with our existing teams to learn our domain and its unique challenges, while providing value to the customer. It also requires collaboration with our other KBRA engineering, design, product, and platform teams to develop, build, run, and support the system architecture.
To be Successful in this role, you should:
- Able to work in a collaborative fashion.
- Have experience collaborating with non-technical and technical partners and can communicate accordingly. Understanding what you are being asked to build and manage the flow of the work in a transparent way as a part of delivering.
- Has a sense of ownership and craftsmanship around the code base.
- Enjoy helping other developers grow and learn new technologies.
Technical Must Haves:
- Experience working with Python in a data engineering environment.
- Experience working with SQL, MongoDB, and MongoDB Atlas search in a data engineering environment.
- Experience working with Pandas or Polars, PyMongo, and Dash in a data engineering environment.
- Building data models for efficient data storage and retrieval for relational and non-relational databases (SQL Server, MongoDB and Snowflake are preferable)
- Hands-on development experience developing and publishing python packages, maintaining them, building Python CLI tools.
- Developing REST APIs using Python frameworks (preferably Flask) – Creating API endpoints, Deploying APIs in a containerized environment, working with other developers in the team to integrate those APIs with the User Interface being built.
- Building efficient data pipelines using data orchestration systems (e.g. Prefect, Airflow, AP Scheduler) to acquire data from different sources, transform them per user requirements and loading them in required format for end users.
- Running services in a containerized docker environment (Docker swarm, Kubernetes, etc.)
- Working with services from one of the major Cloud providers – Preferably AWS Services such as S3, Secrets Manager, SQS (Simple Queue Service), EKS, etc.
- Experience developing distributed systems, event listeners and parallel computing frameworks such as Dask in Python.
Nice to have skills:
- Writing CI/CD YAML files for integrating and deploy code using GitLab.
- Monitoring application services using DataDog and Opsgenie
- You have experience with
- Pydantic
- CSS / Sass / Design System
- Kubernetes
- Terraform
- Ansible
- User Authentication (Auth0 especially)
Salary Range:
The anticipated annual base salary range for this full-time position is $115,000 to $140,000. 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
- Cell phone reimbursement
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-REMOTE
#LI-SS1
Tags: Airflow Ansible APIs Architecture AWS CI/CD Data pipelines Distributed Systems Docker Engineering Finance Flask GitLab Kubernetes MongoDB Pandas Pipelines Python RDBMS Snowflake SQL Terraform
Perks/benefits: 401(k) matching Career development Competitive pay Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Data Science Intern jobs
- Open Data Engineer II jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Marketing Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open MLOps Engineer jobs
- Open Business Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Sr. Data Scientist jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs