Senior Data Engineer

Summary

Join League's Data Platform team as a Senior Data Engineer and build personalized healthcare data products and pipelines. You will work with a sophisticated tech stack on Google Cloud, focusing on batch pipelines and Terraform, while collaborating with a cross-functional team. Responsibilities include being a subject matter expert in task orchestration, building scalable data pipelines, driving architectural choices, and ensuring data infrastructure performance. You will need at least 5 years of data engineering experience, proficiency in Python and SQL, and experience with cloud data stacks and orchestration tools. League offers comprehensive benefits, growth opportunities, equity participation, and wellness days. The application process involves a confirmation email, a chat with the hiring manager, a talent screen, technical interviews, and a final meeting with a senior leader.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• Experience in software development, for serverless infrastructure
• Experience in healthcare datasets like EMR and Claims and interoperability standards like FHIR

Benefits

• Comprehensive Benefits : Generous health coverage for you and your family
• Growth Opportunities : Mentorship and a learning and development budget to support your professional growth
• Equity Participation : Share in the success of a high-growth company
• Wellness days : Take time off to reset and recharge