Senior Data Engineer

Description:

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!

In This Role, You Will
 

• Be a subject matter expert in League’s production data services which range from Cloud Functions to software built in the backend.
• Utilize a variety of distributed computing platforms and tools to build scalable & data pipelines & services.
• Drive architectural choices and data platform tools.
• Translate business needs into data and analytics requirements, with attention to detail.
• Be part of an on-call rotation to analyze, tune, troubleshoot and support League’s data infrastructure ensuring the performance, integrity, and security of data.
• Use sound agile development practices (testing and code reviewing, etc.) to develop and deliver data products.
• Guide and mentor data engineers.
   

About You
 

• 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.
• Ability to weigh in on roadmap and articulate opinion on areas of investment for the team
• Nice-to-haves
  • Experience in orchestration tools like Airflow.
  • Experience in developing real time and batch pipelines.
  • Experience in data modeling, data governance and data discovery tools.
  • Experience in healthcare datasets like EMR and Claims and interoperability standards like FHIR.