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Senior Data Engineer

Senior~$10.6K /moLos Angeles, US →hace 1 sem.
Análisis del mercado
📊 Data Engineering: salarios y demanda en el mercado
Stack
azureci/cddatabricksgitgithubpysparkpythonspark
Detalles
Jornada
Jornada completa
Experiencia
5+ años
Prácticas
CI/CD
Formación
Grado
Para postular
verificación de antecedentes
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Descripción

Requisition Number: 2397414 Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting.

Growing together. This role supports the Identity Management rebuild initiative and ongoing support for the existing application. As part of the rebuild, the candidate will help build and support AI-enabled data pipelines that improve automation, monitoring, testing, data quality validation, and workflow efficiency.

The ideal candidate is a Data Engineer with 5+ years of experience in Python, Azure Databricks, PySpark, Azure Data Factory, and Git, along with hands-on exposure to enterprise-approved AI tools and custom AI agents to improve engineering productivity. You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary

Responsibilities

Build, enhance, and support Azure data pipelines and data solutions for the Identity Management rebuild and existing application support Develop and support data pipelines using Azure Dat

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