Salary
💰 $180,000 - $230,000 per year
Tech Stack
Distributed SystemsETLPySparkPythonSQLTableau
About the role
- Spearhead design, implementation, and iteration of a modern data infrastructure powering analytics, data science, and ML/AI systems at Midi Health
- Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization
- Partner with Data Science, Operations Analytics, Engineering, and Product on design and implementation of scalable data pipelines, models, and solutions
- Drive the development of foundational data products and tools to power self-service analytics
- Actively contribute to and influence engineering processes, culture, practices, and systems
- Serve as a technical thought leader across teams on data engineering best practices
- Lead 0-1 data platform initiatives and help scale data systems at a rapidly growing startup
Requirements
- 5+ years of experience
- Experienced with the modern data engineering stack (dbt, pySpark, Fivetran, Snowflake, Lakehouse, CDP’s, ETL tools, etc.)
- Advanced knowledge of SQL and Python
- Deep expertise in data pipelines, distributed systems, and analytics infrastructure
- Hands-on experience with Data Warehousing technologies, Data Lake architecture, and ETL pipelines and tools
- Deep understanding of BI tooling infrastructure and semantic layer design (ex. Looker, Tableau, Metabase, Mode)
- Experience and interest in leading major architecture initiatives from the ground up
- Belief in applying best in class software engineering practices to data systems
- Interest in coaching/mentoring junior engineers
- Bonus (preferred): experience building data products that meet HIPAA requirements
- Bonus (preferred): experience building platforms that support realtime and batch ML/AI products and systems
- Bonus (preferred): experience integrating EHR and other complex 3rd party system data