Data Engineer
Role summary
We are seeking a Data Engineer passionate about data and automation to join our team. You will leverage modern technologies to build new features and services within our microservice architecture, working with internal cloud databases and data warehouses. Key responsibilities include developing a robust data catalog and dictionary, implementing alerts and observability dashboards for data health monitoring, and writing high-quality, maintainable code. This role involves cross-functional collaboration with product and engineering teams to ensure the consistent release of customer-focused features and requires adherence to and improvement of development processes.
### Who you are
- You love data and automating processes
- You have a willingness to learn and teach in a collaborative environment
- You’ve been complimented on how well you participate in an open feedback environment
- 6+ years of experience building backend services or data automation
- Experience in the financial tech industry is a plus
- Experience with Python
- Experience with tools like Airflow or GCP Workflows
- Experience with working with relational databases
- Experience with cloud environments such as AWS, GCP, or Azure
- Experience using gRPC, protobuf, or GraphQL is a plus
- We encourage you to apply, even if your experience doesn’t match every detail of the job description
### What the job involves
- Use new and modern technology to build new features and services across our microservice architecture
- Work with our internal cloud databases and data warehouses
- Collaborate with our product team to create a robust data catalog and dictionary
- Build alerts and observability dashboards to monitor the health and integrity of our data
- Write thoughtful & quality code that is readable, testable and easily maintainable
- Strive for excellent development practices and careful code architecture that is built around rapid releases
- Work cross-functionally with all mobile and backend engineers and product teams to consistently release high-quality, customer-focused features and measure their impact
- Adhere to, and improve upon, our processes through requirement documents, sprint retrospectives and other regular cadence meetings
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