League is looking to build personalized & data driven healthcare data products and pipelines that power their League platform, and needs a Senior Data Engineer to architect, improve, and support a highly available, secure, and governed data platform.
Requirements
- 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.
- Experience in orchestration tools like Airflow.
- Experience in developing real time and batch pipelines.
- Experience in data modeling, data governance and data discovery tools.
Responsibilities
- 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.
Other
- Minimum 5 years experience in software development or data engineering
- 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
- Experience in healthcare datasets like EMR and Claims and interoperability standards like FHIR.
- Compliance with Information Security Policies
