Senior Data Engineer
Vatica Health · Remoto · Remote
Recebendo candidaturas · conferida em 14/11
Ficha da vaga
- Modelo
- Remoto
- Onde aceita
- Não informado
- Senioridade
- Sênior
- Salário
- Salário não divulgado
Fonte: Workable · Ver vaga original →
- api rest
- python
- sql
- cloud basico
- mentoring
Organizei a descrição em seções com IA. O texto completo da vaga está logo abaixo.
Sobre a vaga
Vatica Health is seeking a Senior Data Engineer to design, build, and operate data pipelines and APIs supporting data-driven and AI-enabled products. The role involves partnering with product, analytics, data science, and machine learning teams in a remote setting.
O que você vai fazer
- Design, build, and maintain batch and streaming pipelines for structured and unstructured data from databases, APIs, event streams, and files.
- Develop ETL/ELT processes and optimize performance, cost, scalability, and reliability.
- Build and operate cloud solutions using AWS services such as EC2, ECS, Lambda, API Gateway, and SQS.
- Develop and manage data workflows, including scheduling, dependencies, retries, alerts, and backfills.
- Establish monitoring, logging, and observability to identify issues and support reliable production operations.
Descrição completa da vaga
Vatica Health and Cozeva bring together clinical expertise and technology to support risk adjustment, quality, and value-based care. Our teams help providers and health plans use clinical information to improve documentation and identify care gaps. About the Role As a Senior Data Engineer, you will design, build, and operate the data pipelines and APIs that support our data-driven and AI-enabled products. You will own how data moves from ingestion through consumption, ensuring it is reliable, secure, and available for the teams and products that depend on it. You will partner with product, analytics, data science, and machine learning teams to translate business needs into scalable production solutions. This hands-on role also includes leading technical reviews, establishing engineering standards, and mentoring other engineers. Responsibilities Design, build, and maintain batch and streaming pipelines for structured and unstructured data from databases, APIs, event streams, and files. Develop ETL/ELT processes and optimize performance, cost, scalability, and reliability. Build and operate cloud solutions using AWS services such as EC2, ECS, Lambda, API Gateway, and SQS. Develop and manage data workflows, including scheduling, dependencies, retries, alerts, and backfills. Establish monitoring, logging, and observability to identify issues and support reliable production operations. Design, develop, test, and maintain secure REST APIs and Python-based data services using frameworks such as FastAPI or Flask. Implement API authentication, authorization, validation, versioning, error handling, rate limiting, and documentation. Build data foundations for machine learning and generative AI, including feature pipelines, training and inference datasets, embeddings, and retrieval-based solutions. Integrate AI tools and large language model (LLM) APIs into workflows for document processing, enrichment, classification, and summarization. Implement data quality checks, validation, lineage, and documentation, applying security, privacy, and compliance standards. Lead architecture and code reviews, mentor engineers, and communicate technical recommendations to business and technical stakeholders.
Perguntas e respostas sobre a vaga
- Aceita candidatos de onde?
- A vaga não diz.
- Qual o regime de contratação?
- A vaga não diz.
- É remota?
- Sim, é remota.
- Informa salário?
- Não, a vaga não divulga.
Nenhuma vaga séria cobra para você se candidatar, e eu nunca peço dado bancário dentro de uma candidatura. O plano pago é cobrado só pelo Asaas, meu parceiro de pagamento.
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