Senior Data Engineer

Vanna Health is reimagining care and community for people living with serious mental illness. They are seeking a Senior Data Engineer to build and mature the data platform capabilities that support their mission by optimizing clinical and financial outcomes for their populations.

Responsibilities:

• Design, build, and operate cloud-based data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows
• Automate data flows, and layer in monitoring, alerting, and data quality tests to ensure data is accurate and up-to-date
• Build interfaces that allow for exposing data and associated processing functionality directly to end users and other systems
• Design and implement production-grade ML/AI infrastructure, and partner with data scientists to take models into production
• Build frameworks and internal self-service tooling that helps the data team deliver value faster

Requirements:

• 6+ years of experience in data, ML, or back-end software engineering
• Advanced Python skills
• Experience with analytical data stores (e.g. Delta Lake, Snowflake, BigQuery) and relational databases (e.g. Postgres, MySQL)
• Intermediate to advanced SQL knowledge (experience with dbt a big plus)
• Experience building and operating production-grade ML/AI systems
• Familiarity with CI/CD
• Obsessive focus on end users and business impact
• Databricks and Spark experience strongly preferred
• Familiarity with healthcare data
• Experience with (or a desire to learn) infrastructure as code tools like Terraform or Databricks Asset Bundles
• Experience working in highly-regulated environments
• Experience at an early-stage startup
• Familiarity with streaming and event-driven architectures