Senior Analytics Engineer
1 week ago
Tuesday Health is a pioneering healthcare organization dedicated to delivering compassionate and supportive care to patients and caregivers navigating serious illness. Our mission is to transform serious illness and end-of-life care by providing member-directed, whole-person care.
Job SummaryWe are seeking a highly skilled Senior Analytics Engineer to join our team. As a key member of our analytics team, you will be responsible for maintaining a scalable dbt project, supporting technical integration with external data sources, and building resilient data pipelines. You will also design and build highly useful data models that support analytic requests and enable fast, data-driven decision making across the organization.
Key Responsibilities- Maintain a scalable dbt project that makes high-quality, well-organized data available for downstream systems.
- Support technical integration with external data sources, including new clients, HIEs, and (Q)HINs, and normalize data for the Tuva data model.
- Build resilient data pipelines (Azure Databricks, Delta Live Tables, dbt, Terraform) that ingest and transform data, incorporating data testing throughout.
- Design and build highly useful data models that support analytic requests and enable fast, data-driven decision making across the organization.
- Work with operational stakeholders to define and prioritize analytic needs and proactively identify analytics use cases.
- Lead, mentor, and expand a top-tier analytics team, promoting a culture of excellence and continuous improvement.
- Strong proficiency with SQL.
- Strong proficiency with dbt.
- Strong experience in integrating healthcare datasets (e.g., claims, ADT/HIE, FHIR) and population health analytics.
- Proficiency with Spark (PySpark, SparkSQL APIs).
- Comfortable managing SDLC with git and CI/CD.
- Experience leading and managing an analytics team and/or analytics projects.
- Familiarity with healthcare regulations and certifications, including HIPAA, HITRUST, and SOC2.
- 3+ years of experience working in healthcare analytics roles.
- Proficiency with one or more BI tools (Tableau, Looker, PowerBI, ThoughtSpot, etc.).
- Experience working in a cloud-based data lake/data warehouse environment like Snowflake or Databricks.
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