Senior Data Engineer 100% remote

Who We Are: 

Vori Health is an award-winning, nationwide, virtual-first, musculoskeletal medical practice focused on evidence-based care that treats the whole person. Using a unique care model to help patients find the best path forward, Vori Health connects patients to a trained care team that includes a nonoperative physical medicine physician, a health coach navigator, and a physical therapist who manage the initial patient assessment and then work to coordinate all aspects of care. We are on a mission to empower humanity to lead a healthier life.  

The Senior Data Engineer/Data Architect to lead the design, development, and optimization of our data infrastructure and pipelines. This role requires a visionary thinker who can transform raw data from disparate sources into actionable insights, enabling data-driven decision-making across the organization. This role will work closely with cross-functional teams to ensure the confidence, trust, scalability, reliability, and security of our data ecosystem. 

What You’ll Do: 

• Essential Functions: 

  •  Develop and implement robust, scalable, and efficient data architecture solutions to meet organizational business needs on an ongoing basis. 

  •  Define data modeling standards and best practices for structured, semi-structured, and unstructured data. 

  •  Ensure the architecture supports data quality, governance, and compliance requirements. 

  •  Design and maintain scalable company workflows for ingesting, transforming, and distributing data across systems and tools. 

  •  Automate data pipelines to handle large-scale datasets with minimal latency. 

  •  Optimize pipelines for performance and cost-efficiency in cloud environments. 

  •  Develop error handling protocols, proactive alerting methods, and work with cross-functional stakeholders for improvements and fixes for issues that arise.  

  •  Manage data integrations from various sources and ensure data flows to expected tools for end users to utilize. 

  •  Lead the deployment and maintenance of databases, data lakes, and data warehouses. 

  •  Implement data partitioning, indexing, and optimization strategies to improve query performance. 

  •  Partner with stakeholders across the organization to understand data requirements and train team on data acumen. 

  •  Develop clear communication strategies to share data insights and updates with stakeholders, enhancing transparency and trust. 

  •  Engage stakeholders through regular workshops and feedback sessions to ensure data solutions meet user needs and compliance requirements. 

  •  Work with account management and sales …