Senior Databricks Engineer

🕒 Setembro 18

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

👻 Score fantasma 15%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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EXL

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏥 Saúde

🛡️ Seguros

📦 Logística

💰 $2.000.000 Venture Round em 2015-01

Healthcare • Insurance • Logistics

Escolher um parceiro digital vai além das capacidades — trata-se de colaboração e caráter.

Descrição

• Design and implement scalable data solutions using Databricks Lakehouse architecture • Develop and optimize batch and real-time data pipelines for large-scale data processing • Lead technical solution design for data integration, transformation, and analytics workloads • Collaborate with business stakeholders, data engineers, analysts, and product teams to translate requirements into technical solutions • Implement data governance, security, and data quality best practices using Unity Catalog and related technologies • Optimize performance, reliability, and cost efficiency of Databricks workloads • Support data warehouse modernization and cloud migration initiatives • Create architecture documentation, technical standards, and design guidelines • Troubleshoot complex data platform issues and provide technical recommendations • Stay current with Databricks and cloud platform capabilities and drive adoption of best practices • Deliver high-quality data platforms supporting analytics, reporting, and operational decision-making

🎯 Requisitos

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field • Minimum 5 years of experience in data engineering, data architecture, or related technical roles • Hands-on experience with Databricks in enterprise environments • Strong knowledge of PySpark, Spark SQL, Python, and SQL • Experience designing and implementing Lakehouse architectures • Experience building scalable ETL/ELT data pipelines • Strong understanding of data modeling, data warehousing, and analytics platforms • Experience working with structured and unstructured data • Strong problem-solving and communication skills • Ability to work independently in a remote environment • Experience implementing data governance and security frameworks • Required Databricks Certified Data Engineer Associate certification • Required Databricks Certified Data Engineer Professional certification • Healthcare industry experience, including claims, clinical, provider, member, or revenue cycle data, preferred • Experience with Azure, AWS, or GCP cloud platforms preferred • Exposure to machine learning and AI/ML workloads on Databricks preferred • Cloud platform certifications preferred

🏖️ Benefícios

• Full-time remote work arrangement • Individual contributor role • Opportunity to work on healthcare analytics and modern data architecture initiatives

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