Privia Health
Web Data Engineer
Remote Full Stack Engineer role with clear candidate location fit.
PostedJul 14, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Web Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Primary Job Duties:
- Product-Driven Engineering: Design, build, and maintain high-performing rails and javascript applications that power core application features and support our mobile applications
- Data Modelling and Development: Provide hands-on development of data models, data load pipelines and SQL scripts in MySQL and Snowflake
- AI-Augmented Development: Integrate AI-assisted programming tools (e.g., Gemini) into daily development workflows to optimize SQL queries, accelerate application development, and build robust automated test suites.
- Data Integrity & Quality Assurance: Build and maintain unit and integration tests for the applications and databases we support.
- Agile Collaboration: Collaborate directly with product owners and business analysts to plan and define data requirements, actively participating in and contributing to Scrum/Agile ceremonies.
Primary Job Duties:
- 4+ years of experience with Ruby On Rails
- 5+ years of experience with SQL database development, ideally in a cloud environment such as Google Cloud or Snowflake
- Cloud Platform Proficiency: Strong hands-on experience utilizing public cloud services (AWS, Azure or GCP) alongside modern data platforms like Snowflake.
- AI Developer Tooling: Experience using AI development assistants to write, optimize, and debug code.
- Agile SDLC: Proven experience delivering value within an Agile/Scrum team structure.
Desired Qualifications:
- Experience engineering data workflows specifically for patient engagement, digital health portals, or automated scheduling products.
- Healthcare Domain Expertise: Deep, practical knowledge of healthcare data ecosystems (claims data, clinical EHR workflows, patient scheduling patterns) and strict compliance with HIPAA rules and regulations.
- Experience with modern data transformation orchestration tools (such as dbt, Airflow, or Prefect).
- Prompt engineering skills or experience fine-tuning AI tools for development workflows.
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