• Traduzir demandas de negócio em problemas e soluções de engenharia de dados. • Projetar, desenvolver e implementar pipelines de dados escaláveis e resilientes. • Construir e manter processos de ingestão, transformação e disponibilização de dados. • Garantir a qualidade, performance e governança das soluções implementadas. • Participar da definição de arquiteturas e padrões de engenharia de dados. • Atuar em conjunto com times multidisciplinares, apoiando iniciativas orientadas a dados. • Realizar troubleshooting e otimização de processos e ambientes de dados.

• Maintain and enhance data pipelines and solutions • Modernize processes and workflows currently supported by legacy technologies • Develop and optimize data processing and transformation routines • Design data structures using dimensional modeling • Identify opportunities to improve data performance, quality, and governance • Collaborate with cross-functional teams to define and implement technical solutions • Ensure stability, reliability, and efficiency of data environments

Role Description The Full Stack Engineer is a highly skilled developer equally at home in Ruby and SQL. Our team develops and maintains a stable of Rails applications that power our core patient- and provider-facing digital products. You will act as the data backbone supporting real-time and operational products, with examples as: - Patient automated actions - MyPrivia patient portal - Privia Insights (embedded inside athenaOne) - Online scheduling - Communication orchestration layers We are looking for an engineer who actively integrates AI-assisted coding tools to accelerate development, optimization, and testing. You must have experience translating complex business requirements into scalable, secure, cloud-native data architectures while partnering with a distributed team of engineers. Our team is currently 7 developers. We all work remotely, and have for more than 10 years. Our team is highly collaborative, we succeed and fail together, not as individuals. We maintain a stable of Rails/React applications ranging from microservices to majestic monoliths. We have a culture of mentorship and knowledge sharing. We work using the Scrum process, in two week sprints. We proudly have a trans-inclusive and family friendly health plan, plus a lot of other great benefits. 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. Qualifications - 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 - Strong hands-on experience utilizing public cloud services (AWS, Azure or GCP) alongside modern data platforms like Snowflake. - Experience using AI development assistants to write, optimize, and debug code. - Proven experience delivering value within an Agile/Scrum team structure. Requirements - Experience engineering data workflows specifically for patient engagement, digital health portals, or automated scheduling products. - 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. Benefits - Trans-inclusive and family friendly health plan - Annual bonus targeted at 15% - Expense reimbursement for remote work-related costs Additional Information All your information will be kept confidential according to EEO guidelines. The salary range for this role is $110,000.00 to $130,000.00 in base pay and exclusive of any bonuses or benefits (medical, dental, vision, life, and pet insurance, 401K, paid time off, and other wellness programs). The base pay offered will be determined based on relevant factors such as experience, education, and geographic location. In order to successfully work remotely, supporting our patients and providers, we require a minimum of 5 MBPS for Download Speed and 3 MBPS for the Upload Speed. This should be acquired prior to the start of your employment. The best measure of your internet speed is to use online speed tests like https://www.speedtest.net/ . Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost. Privia Health is committed to creating and fostering a work environment that allows and encourages you to bring your whole self to work. We understand that healthcare is local and we are better when our people are a reflection of the communities that we serve. Our goal is to encourage people to pursue all opportunities regardless of their age, color, national origin, physical or mental (dis)ability, race, religion, gender, sex, gender identity and/or expression, marital status, veteran status, or any other characteristic protected by federal, state or local law.

• Participar de ponta a ponta no ciclo de dados: desde a compreensão das necessidades com desenvolvedores e/ou fontes externas até a criação de pipelines e modelagem de dados; • Contribuir em discussões orientadas a dados, apoiando tanto a equipe de Engenharia quanto outras áreas de negócio; • Implementar e disseminar boas práticas de engenharia, como versionamento de código, testes automatizados, validação de dados e documentação de metadados; • Atuar como facilitador na integração entre equipes de tecnologia, analytics, data science e áreas de negócio; • Documentar detalhadamente processos, fluxos e entregas, promovendo transparência e compartilhamento de conhecimento; • Executar extrações, transformações e análises de dados, assegurando qualidade, consistência e confiabilidade das informações. • Experiência em integração com times de Data Science, Analytics ou Produto será considerado diferencial.