Build strong and diverse communities through innovative financial technology by empowering people to help create success for customers
Requirements
- Understanding of data structures, algorithms, and software development principles
- Familiarity with SQL and basic database concepts
- Proficiency in Python programming language
- Familiarity with version control systems like Git and CI/CD
- Exposure to cloud platforms (AWS or Azure)
- Any of the following technologies are a plus: Airflow, Snowflake, dbt, Pyspark, Docker, C-Sharp, Kubernetes
Responsibilities
- Production Support: reviewing production data pipeline executions, investigating failures and raising them to team as needed
- Development: designing and implementing data pipelines, defining data flow, transformations, and relationships between datasets
- Observability: monitoring data pipelines for performance and reliability
- Collaboration: working with data analysts, data scientists, and software engineers to understand data needs
Other
- Typically requires a Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
- Applicants must be authorized to work for any employer in the U.S.
- Fluent written and oral communication in English
