Principal Data Engineer

Diagnostic Imaging & Telemedicine is seeking an analytics-focused Data Engineer to serve as the technical owner and lead for the DI&TM analytics data platform and semantic layer, a business-critical data product supporting financial, clinical, operational, and strategic decision-making.

This role is accountable for defining and leading the technical direction, architecture, standards, and roadmap for the data foundation that enables analysts, operational leaders, business partners, applications, and AI-enabled solutions to confidently access and use trusted data.

The engineer treats the semantic layer as a strategic data product—establishing consistent definitions, relationships, business logic, data models, documentation, and reusable patterns that enable trusted metrics and datasets across multiple use cases. The role owns the technical evolution of this foundation and independently identifies opportunities to improve scalability, reliability, performance, automation, data quality, accessibility, and cost.

The ideal candidate brings deep expertise in data engineering and analytics engineering
, with specialized knowledge of database architecture, data modeling, modern transformation practices, and analytics platforms. The role requires the ability to interpret complex and ambiguous business and technical problems, evaluate trade-offs, and recommend scalable solutions that may influence architecture and data practices beyond Diagnostic Imaging & Telemedicine.

The incumbent serves as a recognized technical expert and best-practice resource for data modeling, dbt, Snowflake, SQL, and modern analytics engineering practices. This role provides technical leadership and mentorship to data analysts and engineers and establishes engineering standards and development practices across the group.

Working with a high degree of autonomy, the role sets technical priorities in alignment with business objectives and operates independently except in the most complex or enterprise-level situations.

This is a fully remote position with the opportunity to travel to our corporate headquarters.

• Owns and leads the technical strategy and architecture for the DI&T analytics data platform and semantic layer, ensuring the data foundation can reliably support current and future financial, clinical, operational, and strategic business needs.
• Designs and develops scalable data models and curated datasets that transform raw data into trusted, reusable data products for business, financial, clinical, and operational analytics.
• Defines and leads the architecture of the analytics semantic layer, including standardized business logic, metrics, dimensions, relationships, and definitions that enable consistent and reliable reporting and analysis across Diagnostic Imaging and Telemedicine.
• Leads the development and evolution of reliable production data pipelines and transformation processes integrating data from operational systems, data warehouses, integration hubs, data lakes, and other enterprise sources.
• Translates business and analytical requirements into scalable data solutions, partnering closely with Business Analysts, Data Analysts, and operational stakeholders to understand needs and develop data products that are fit for purpose and reusable across multiple use cases.
• Solves complex cross-system data problems where established patterns or precedents may not exist, applying broad technical and business perspective to identify root causes, evaluate alternatives, and develop innovative solutions.
• Establishes and applies data modeling, engineering, and governance standards, including naming conventions, documentation, data definitions, lineage, version control, testing, and development practices that…