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Solace is a Series C healthcare startup (founded 2022, $1B valuation) that pairs patients with expert advocates and tools to navigate the complex U.S. healthcare system. The company is backed by top-tier VCs including Inspired Capital, Craft Ventures, and Menlo Ventures.
You will architect and build the data foundation powering patient outcomes. As a core member of a small, fast-moving team, you'll design and optimize scalable data pipelines, establish engineering standards and best practices, and ensure data reliability across the platform. Your work spans raw data ingestion through complex modeling, and you'll also help own the FastAPI data API that drives data-driven decisions within the application.
Key responsibilities:
- Design, build, and optimize scalable data pipelines using Airflow, Python, dbt, and Snowflake, replacing manual processes with resilient automated workflows
- Manage cloud infrastructure (AWS/GCP) using Terraform, ensuring reproducibility, security, and scalability
- Write production-grade Python code for complex data processing and champion engineering best practices including code reviews, testing, and CI/CD
- Collaborate with analysts to design performant SQL transformations and data models in Snowflake
- Implement observability and monitoring to catch data quality issues before they impact stakeholders
- Partner cross-functionally with Data Analysts and Product Managers to understand data needs and deliver high-quality data products
- Help own the FastAPI data API, including endpoint design, performance, deployment, monitoring, and reliability
Requirements:
- Strong Python proficiency: comfortable writing modular, testable, and efficient code for data processing and automation
- Advanced SQL and Snowflake expertise: deep knowledge of cloud data warehousing with ability to optimize queries for performance and cost
- Proven experience building and maintaining complex workflows using Airflow or similar orchestration tools
- Familiarity with Terraform and cloud services (AWS or GCP); ability to provision and manage infrastructure resources
- Experience handling sensitive medical data, including PHI/PII, implementing secure access controls (RBAC), and adhering to governance standards
- Startup mindset: self-starter comfortable with ambiguity, takes ownership, willing to wear multiple hats
- Strong communication skills to translate technical challenges into clear options for non-technical stakeholders
- Must be based in the United States
Bonus qualifications:
- dbt expertise for managing transformations and implementing testing/documentation standards
- Healthcare data standards or HIPAA experience
- Containerization experience with Docker and Kubernetes
- Backend development or MLOps exposure (FastAPI, Flask, model deployment, versioning, monitoring)
