Vanna Health

Data Engineer

Job description


Salary range: $135,000-$180,000 per year

About Vanna Health

Vanna Health focuses on reimagining care for individuals with serious mental illness. Our goal is to empower these individuals to lead healthy and meaningful lives by providing physical and mental healthcare support and connecting members to community programs. Our technology-enabled approach, developed by our own team of engineers and designers, ensures our staff and members are well supported.

Vanna delivers in-person and virtual community-based engagement through an interdisciplinary team of coaches and clinicians. We leverage partnerships with existing community resources to facilitate support networks unique to an individual's needs and location - connecting them to established psychosocial rehabilitation programs, resources for housing, transportation, etc. and various digital engagement opportunities to address members' needs.

About the Role

The Data Engineer role is critical for Vanna's developing data capabilities. Your work will focus on building out the data platform capabilities that are foundational to Vanna's success across a number of key domains, including population evaluation and selection, member outreach and engagement, and optimization of clinical and financial outcomes for both individual members and our populations as a whole. You'll become a subject matter expert on all things data at Vanna, working hand-in-hand with our clinical, operations, product, and engineering teams to develop the technology and services that enable our Vanna Coaches to provide compassionate care to our members living with severe mental illness.

This is a unique opportunity to join a small but growing team, where you'll have the opportunity to develop many of our foundational data capabilities from scratch. You have a growth mindset and are excited about expanding your technical skills and stepping into new responsibilities as the team and company grow.


  • Design and implement cloud-based data warehousing environments, data processing frameworks, and data models that support Vanna's business
  • Implement cloud-based data infrastructure, optimizing for scale and performance as the size of our data grows
  • Automate the movement of data through our data platform, and layer in monitoring, alerting, and data quality checks to ensure data is accurate and up-to-date
  • Build interfaces in collaboration with our engineering team that allow for exposing data and associated processing functionality directly to end users and other systems
  • Partner with data scientists to take machine learning models into production
  • Contribute to overall data platform architecture design discussions, with a focus on balancing short-term needs with long-term scalability
  • Employ software engineering best practices in support of versioning and quality control of both code and data

About You

  • 4-6 years of experience in data or back-end software engineering
  • Advanced Python skills
  • Experience working with analytical data stores like Delta Lake, Snowflake, BigQuery, etc.
  • Experience working with relational databases like Postgres, MySQL, or SQL Server
  • Databricks experience strongly preferred
  • Comfort in cloud computing environments (we use AWS)
  • Intermediate to advanced SQL knowledge
  • Knowledge of common software architecture design patterns and when to employ them
  • Experience with SDLC best practices, including agile, version control, CI/CD, test-driven development, documentation, etc.
  • Obsessive focus on end users and business impact

Bonus points if you have:

  • Familiarity with healthcare data
  • Experience with infrastructure as code tools like Terraform or Databricks Asset Bundles, or a desire to learn
  • Experience working in highly-regulated environments
  • Experience at an early-stage startup
  • Familiarity with streaming and event-driven architecture


  • Full medical, dental, and vision insurance
  • 401K
  • HSA/FSA/Dependant Care FSA options
  • Unlimited PTO
  • Company paid holidays off

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