Data Engineer

• Recognize and handle the data requirements of all business stakeholders
• Take charge of developing fault-tolerant, scalable, and high-availability data applications for cloud platforms to store and handle terabytes of data from upstream sources
• Create and maintain systems to anonymize data and match identities in the Jasper analytical environment
• Collaborate on solution requirements with information architects, platform architects, data scientists, and product management
• Address the data requirements by working with the quantitative teams
• Create products that make it possible to quickly and accurately extract knowledge from all collected health, device, and behavior data
• Create and manage procedures for ingesting, transforming, enhancing, and storing a mix of structured (healthcare data, EHR, PROs, devices, etc.) and unstructured (notes, radiology images, etc.) data while ensuring data availability and quality
• Adapt and convey difficult material, persuading and acting with prompt/actionable follow-up
• Participate in the creation, implementation, and testing of products
• Improve the process by making suggestions for data gathering, data consumption, and data storage improvements
• By thoroughly analyzing intricate business processes, system processes, organizational standards, and procedures, you may resolve high impact issues and initiatives
• Use BigQuery, Pub/Sub, Data Catalog, DataFlow, and GCP to oversee development, testing, and production implementation
• Ensure that the databases and file systems upstream and downstream of the data warehouse are maintained
• Ensure adequate data solutions to accomplish goals and identify and specify essential system and process improvements by working with multiple teams.
• Perform personnel tasks for direct reports (such as recruiting, performance reviews, or mentoring)
• Oversee agile data engineering teams to meet sprint and program increment goals
• Participate in business partner engagement, relationship management, and cross-group planning among peers and technology leadership

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 4+ years of relevant experience as a data engineer or other relevant roles
• Prior expertise as a Technical Lead for Data Warehouse, BI, and ETL
• Extensive knowledge of analytics ideas including data warehousing, data lake, and ETL technologies
• Comprehensive understanding of several mission-critical apps running on big data platforms
• Ability to operate in a fast-paced workplace with geographically dispersed teams Demonstrable familiarity with batch and real-time data pipelines in a DevOps setting Agile teams operating in various shifts
• Track record of success in creating an analytical environment and the related tools
• Ability to build and maintain excellent collaborative connections with business stakeholders at all levels
• Prior employment in the healthcare industry
• Extensive experience creating environments for or working with data-driven statistical models
• Experience dealing with payer claims data and provider EHR data
• Exceptional expertise in working with sensitive data in a highly regulated environment
• Proven track record putting difficult and creative ideas into action
• Papers and articles in the area of data engineering
• Be the team captain, set an example, inspire, and encourage cooperation among teammates
• Fluent in conversational and written English communication