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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** WELLVANA LLC - **Location:** Nashville, TN, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Business Logic, Cloud Database, Code Review, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Python (Programming Language), Raw Data, Standard Sql, SQL Databases, Data Processing, File Transfer Protocol (FTP), Data Ingestion, Snowflake, Software Troubleshooting, Build Management, Information Technology, Performance Monitor, Data Management, Data Pipelines - **Published:** July 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=82013dd1caef1db8 ## About the Role * 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 ## Description 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)