Description The Why Behind Wellvana The healthcare system isn't designed for health. We're designed to change that. We're Wellvana, and we help doctors deliver life-changing healthcare. Through our elevated value-based c…
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Full-time
bachelor degree, postgraduate degree
Posted 35d ago
~40 hrs/week
Responsibilities
Build and scale the data infrastructure for the Clarity analytics platform by owning dbt models and maintaining Dagster pipelines. Transform CMS claims and provider data into reliable models to drive partner-facing analytics and internal decision-making.
Requirements
Requires a Bachelor's or Master's degree in a technical field and 2-3 years of experience in analytics engineering with strong SQL and dbt skills. Proficiency in Python, Snowflake, and experience with medallion architecture is expected.
Full job description
Description
The Why Behind Wellvana
The healthcare system isn't designed for health. We're designed to change that. We're Wellvana, and we help doctors deliver life-changing healthcare.
Through our elevated value-based care programs, we're revitalizing an antiquated system that's far too long relied on misaligned incentives that reward quantity of care, not the quality of it.
Our enlightened approach, covering everything from care coordination to clinical documentation education to marketing, ties the healthy outcomes of patients directly to shared savings for primary care providers, health systems, and payors.
Providers in our curated network keep their independence, reduce their administrative headaches, and spend more time with patients. Patients, in turn, get an elevated experience with coordinated care between appointments that is nothing short of life-changing.
Named a 2024 "Best in Business" and 2023 "Best Place to Work" by Nashville Business Journal, we're one of the fastest-growing healthcare companies in America because what we do works. This is the way medicine is meant to be.
Clarity on the Role:
Wellvana is seeking an experienced Analytics Engineer to help build and scale the data infrastructure behind Clarity, our analytics platform for ACO/MSSP partners. This is a hands-on engineering role: you'll own dbt models, build and maintain Dagster pipelines, and work directly with claims and provider data across a growing partner network. You'll work closely with the data engineering team and CTO to turn CMS claims, vendor feeds, and internal source systems into reliable, well-modeled data that drives partner-facing analytics and internal decision-making.
What's Expected:
Design and build dbt models on Snowflake that answer real business and partner questions, not just pass through raw data
Develop and maintain models within a medallion architecture (bronze/silver/gold), keeping raw, cleaned, and business-ready layers clearly separated and well-tested
Build and maintain semantic layer definitions so metrics are consistent, documented, and reusable across dashboards and partner reporting
Operate with and extend Dagster pipelines: ingestion, transformation, scheduling, and asset-level data quality checks
Work with CMS claims data (CCLF, ALR) and provider hierarchy sources (NPI, TIN, CCN, PECOS/NPPES) to support ACO attribution and performance reporting
Build and maintain vendor data-sharing pipelines (S3, Iceberg-format tables, SFTP) for external partners and vendors
Investigate and resolve data anomalies across ingestion pipelines: row count drops, schema drift, upstream vendor changes
Diagnose pipeline failures with a bias toward hard failures and root-cause fixes, not silent fallbacks or defensive workarounds that mask problems
Collaborate with analysts and other engineers to keep data models understandable and well-documented
Increasingly, work alongside AI coding agents (e.g., Claude Code) to accelerate pipeline development, code review, and documentation, and be comfortable with that shifting the shape of day-to-day engineering work over time
Requirements
What's Required:
Education
Bachelor's or Master's degree in computer science, engineering, or a related field (equivalent experience considered
Years of Related Experience
2-3 years of experience as an analytics engineer, data analyst, or similar role with hands-on SQL and dbt work; healthcare or claims data exposure a plus, not a requirement
Skills/Competencies/Behaviors
Strong SQL and data modeling skills, comfortable designing dbt models from source data, not just querying existing ones
Production experience with dbt (models, tests, macros); exposure to an orchestrator (Dagster, Airflow, or similar) a plus
Familiarity with medallion architecture patterns (bronze/silver/gold) and semantic layer concepts (metrics definitions, reusable business logic)
Working proficiency in Python for data transformation and light tooling work
Working knowledge of AWS (S3 basics) and comfort querying cloud data warehouses (Snowflake or similar)
Interest in healthcare claims data (Medicare claims, CCLF, or similar) a plus; willingness to learn ACO/MSSP attribution logic
Understanding of data governance and PII/PHI-aware data handling
Comfort working with AI coding assistants as part of the standard workflow, not just as a novelty
Strong troubleshooting instincts and a preference for surfacing problems early over papering over them
Ability to work independently and communicate clearly with both technical and non-technical stakeholders
Wellvana is the leader in value-based care enablement, serving over 800,000 patients across 40 states.
With an expansive accountable care network of hospitals, health systems, and independent primary care practices, Wellvana helps future-forward organizations take the right risks, unlock new revenue, and deliver better patient outcomes.
In 2024, Wellvana’s ACO participants generated over $337 million in savings to Medicare, with the company’s flagship ACO achieving more savings than any other MSSP ACO in the nation.
Offices: 20 Burton Hills Blvd, Suite 100, Nashville, Tennessee 37215, US
Value-based carecare managementand health techHospitalHealth CareMedicalIT Infrastructure