Senior Data Engineer – AI

🕒 il y a 3 mois

🇺🇸 États-Unis – Télétravail

💵 $140 000 - $165 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

Airflow

AWS

Azure

Cloud

Hadoop

Scala

Spark

SQL

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Logo of Cotiviti

Cotiviti

5001 - 10000 employés

🏥 Santé

💼 Conseil

📦 Logistique

Healthcare • Consulting • Logistics

Cotiviti est une entreprise de technologie et d'analytique dans le secteur de la santé, spécialisée dans l'amélioration de l'exactitude des paiements et des performances grâce à des solutions avancées d'analytique de données. Elle collabore avec des régimes de santé, des agences gouvernementales et des prestataires de soins de santé pour fournir des insights qui améliorent la qualité et l'efficacité de la prestation de soins. Grâce à des solutions telles que l'ajustement des risques, la gestion des politiques de paiement et l'engagement des membres, Cotiviti vise à optimiser les résultats financiers et cliniques pour l'écosystème de la santé.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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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