Senior Data Engineer – AI

🕒 Abril 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $165.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Cotiviti

5001 - 10000 funcionários

⚕️ Seguro de Saúde

💳 Fintech

🤖 Inteligência Artificial

Healthcare Insurance • Fintech • Artificial Intelligence

Cotiviti é uma empresa de tecnologia e análise em saúde que se especializa em melhorar a precisão e o desempenho dos pagamentos por meio de soluções avançadas de análise de dados. Eles se associam a planos de saúde, agências governamentais e provedores de serviços de saúde para fornecer insights que aprimoram a qualidade e a eficiência na prestação de cuidados. Com soluções como ajuste de risco, gerenciamento de políticas de pagamento e engajamento de membros, a Cotiviti busca otimizar os resultados financeiros e clínicos para o ecossistema de saúde.

Descrição

• Create, maintain and execute complex SQL queries for data management and data validation. • Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows. • Monitor data processes, analyze data trends and identify anomalies or issues. • Immediately report issues regarding quality of/or interruption of data processes following standard operating procedures. • Perform production solutions and services configurations as needed. • Serve as a change agent to identify organizational improvements and make recommendations to improve business processes. • Create and maintain SOP documents. • Train and mentor new members of the team as needed. • Participate in meetings with clients and/or stakeholders. • Troubleshoot issues and provide recommendations for remediation. • Demonstrate sound judgment in selecting methods and techniques for obtaining solutions. • Completes work as assigned. • Participate in customer testing, as needed, for new technology or changes to existing. • Provide after-hours or weekend support as needed. • Demonstrate an ability to work independently. • Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity. • Complete task assignments using department ticketing/productivity systems within assigned deadline. • Achieve organizational and individual goals as identified in performance reviews and goal setting exercises. • Complete all special projects and other duties as assigned.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Technology or equivalent work experience. • 8+ years of working knowledge of big data / cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.). • Experienced in implementing data pipelines with data engineering best practices in SQL, Spark and Scala, implementation in a Databricks environment a plus. • 8+ years of data analysis. • Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims. • Any Databricks / AWS certifications is a big plus. • Strong SQL and data modeling skills. • Experience with data pipeline orchestration tools (e.g., Airflow, Databricks Workflows). • Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook. • Flexible work schedule. • Experience with project management tools like JIRA.

🏖️ Benefícios

• medical, dental, vision, disability, and life insurance coverage • 401(k) savings plans • paid family leave • 9 paid holidays per year • 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti

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