WHO WE ARE:

TurningPoint Healthcare Solutions is a leader in advanced clinical and technology-enabled complex condition management. TurningPoint provides an innovative suite of specialty care management services and technologies that enable health plans and employers to improve the safety, quality, and affordability of healthcare. Through its platform and specialized team of clinical experts, TurningPoint works collaboratively with providers to deliver optimal care. TurningPoint offers condition-specific, quality-driven, value-based care management services that optimize care from diagnosis and discovery through recovery. TurningPoint’s comprehensive and integrated suite of services enhances the support individuals need, at the time they need it most. Since launching in 2015, TurningPoint has provided support to more than 50 million people nationwide across numerous clinical specialties including musculoskeletal, pain management, cardiology, wound care, ear/nose/throat, and sleep. TurningPoint’s model moves beyond denial-based care to holistic condition management that improves outcomes and reduces cost. TurningPoint is an independent organization, not owned or affiliated with a health plan or provider system.

POSITION SUMMARY:

The Cloud Data Engineer will play a critical role in designing, implementing, and maintaining robust data architectures and infrastructure in a Microsoft Azure cloud environment. The successful candidate will collaborate with cross-functional teams to ensure data availability, integrity, and optimal performance for analytical and operational purposes. This role requires a deep understanding of Azure cloud platforms, Databricks, proficiency in data engineering technologies, and a commitment to implementing best practices in data management.

EDUCATION & EXPERIENCE:

• Bachelor’s degree in computer science or equivalent experience in a technical field
• 5+ years of experience in data engineering, data architecture, or a related field
• Software Engineering in C#, Javascript, or Python for use in data environments
• Experience in health care data is a plus.
• Mirth experience is a plus.
• Hands-on experience with Azure cloud-based data platforms and technologies
• Azure certifications preferred
• Troubleshooting and analytical skills
• Strong communication and collaboration skills
• Client management skills to discuss systems as needed
• Relevant training and/or certifications as a Cloud Engineer
• Utilize source control to maintain version history of all development activities. (Azure Dev Ops)
  TurningPoint Healthcare Solutions is an Equal Opportunity Employer.
  

  LI-Remot

• Design and develop data architecture for cloud-based solutions, ensuring scalability, performance, and reliability.
• Create and implement data models that support the organization’s business requirements.
• Thorough understanding of SSIS (SQL Server Integration Services).
• Migrating legacy ETL processes to cloud-based technologies such as Azure Data Factory.
• Optimize data storage and processing solutions for cost efficiency and performance.
• Manage and optimize cloud-based databases (e.g., Databricks, Azure SQL Database, Azure SQL Managed Instance)
• Develop and maintain ETL (Extract, Transform, Load) processes to move and transform data between systems.
• Implement data integration solutions for seamless connectivity between various data sources and destinations.
• Implement and enforce data quality standards and governance policies.
• Collaborate with data stewards to ensure data accuracy, consistency, and compliance.
• Work closely with Health Economics and Analytics teams to understand their data requirements and provide the necessary infrastructure and support.
• Implement security measures to protect sensitive data.
• Ensure compliance with relevant data privacy regulations and industry standards.
• Monitor the performance of data systems and optimize as needed for efficiency and cost-effectiveness.
• Document data architecture, configurations, and processes.
• Create and maintain documentation for data workflows and pipelines.
• Identify and resolve issues related to data processing, storage, and integration.
• Provide support and troubleshoot data-related incidents in collaboration with other teams.