Senior Data Engineer

Salary Range: $190,000-$210,000 per year

Note: This is a remote position.

Vanna is reimagining care and community for people living with serious mental illness (SMI).

The current system is failing individuals with SMI, resulting in a high risk of loneliness (2.3x), homelessness (6x), unemployment (30x), incarceration (25x), and reduced life expectancy (by 20 years). Vanna believes that no person is too ill to recover and that the solution is social, not just medical. Our mission is to empower people with SMI to flourish by finding purpose and a sense of belonging in their community.

We are deploying community-based care teams from diverse backgrounds that have a variety of lived experiences and know their communities inside and out. In close collaboration with existing community organizations and healthcare providers, our teams outreach and build trust with individuals to support the navigation of each individual’s personalized recovery journey.

We are committed to providing individuals with culturally inclusive support for all races, ethnicities, religions, sexual orientations, gender identities, and other social factors, such as history of incarceration.

As Vanna continues to grow, we’re looking for a Senior Data Engineer to build and mature the data platform capabilities that are foundational to Vanna’s success across several 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 work closely with our engineering, product, operations, and clinical teams to develop the technology that enables our community-based teams to provide compassionate care to our members living with severe mental illness.

This is an opportunity to join a small but growing team, where you’ll have the opportunity to develop many of our foundational data capabilities from scratch and own projects end-to-end. 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, 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

• 6+ years of experience in data, ML, or back-end software engineering
• Advanced Python skills
• Databricks and Spark experience strongly preferred
• 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

• 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