Senior Data Engineer (Microservices)

Minimum 5 years experience in software development or data engineering

Experience in python and/or GoLang, bonus if in the context of serverless infrastructure.

Experience working with Cloud Infrastructure  - preferably GCP.

Experience in implementing deployments, CICD, error handling and monitoring for scalable pipelines.

Experience in performing root cause analysis of production issues, performance tuning and optimization.

Ability to articulate tradeoffs of technical decisions and influence stakeholders.

As a

Senior Data Engineer

, you will focus on the data services / software development element of building personalized & data driven healthcare data products and pipelines that power our League platform. You will help architect, improve on and support a highly available, secure and governed data platform. Examples of data services include API endpoints, production microservices, and backend tools.

In this role, you will work as part of a small multi-disciplinary team to establish and evangelize a data driven culture. This team will not only work with the product team closely but will also support non-engineering functions like Marketing and Business Strategy.

To thrive in this role, you are someone who works well in cross-functional teams and enjoys collaborating. Furthermore, you understand the business impact of your work and enjoy measuring and presenting it. You enjoy working with product management and other stakeholders to find the best solution to the problem at hand, iterate over it and can balance technical complexity with delivering customer value.

Our platform and applications run on Google Cloud. You will be working on building microservices for real-time and batch processes, machine learning pipelines, and mission critical data services. You will have an opportunity to experiment with new frameworks and paradigms, and freedom to put cutting-edge tech in production to shape the future of digital health!