Senior Data Engineer, League

• Minimum 5 years experience in 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 a cloud Data Stack - preferably GCP
• Experience in coding in python and SQL
• Experience in orchestration tools like Airflow
• Experience in managing CICD & Cloud Infrastructure through Terraform, Github Actions, etc
• Experience in developing real time and batch pipelines
• Experience in implementing deployments, error handling and monitoring for scalable pipelines
• Experience in performing root cause analysis of production issues, performance tuning and optimization
• Experience in supporting reporting tools as a platform eg- Looker, Tableau
• Experience in data modeling, data governance and data discovery tools

Desirable

• Batch Pipelines / Data Visualization - 40%
• Real-Time Data Streaming - 10%
• Software Development - 20%
• MLOps - 10%
• Terraform Deployments - 20%
• As a Senior Data Engineer, you will build personalized & data driven healthcare data products and pipelines that power our Powered by League platform and provide valuable insights on its performance. You will help architect, improve on and support a highly available, secure and governed data platform
• 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 infrastructure for real-time and batch pipelines to ingest and transform data from a variety of sources. 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!
• Be a subject matter expert in League’s task orchestration infrastructure (Airflow/Cloud Composer), which supports many products
• Utilize a variety of distributed computing platforms and tools to build scalable & customer facing data pipelines
• 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

• Submit Your Application: You’ll receive a confirmation email right away
• Hiring Manager Chat: Meet the hiring manager straight away to discuss your technical experience
• Talent screen: Learn more about our culture, get alignment on your compensation expectation prior to committing to next steps
• Technical Interviews: Dive into SQL and architecture-focused discussions and learn how you can make an impact at League
• Final Step: Meet our senior leader to discuss our mission and vision
• Offer and onboarding!