Epic Certified Analytics​/Data Engineer; Clarity & Caboodle

Position: Epic Certified Analytics / Data Engineer (Clarity & Caboodle)

Company: Confidential

Location: Boston, MA and Remote / Hybrid / Onsite.

Employment Type: Contract, C2C, W2, Green Card.

The Epic Certified Analytics/Data Engineer will serve as the organization’s technical authority responsible for extracting and migrating data from cloud-hosted Epic Clarity and Caboodle environments into the enterprise Bronze data layer. This individual contributor role requires Epic certification to legally and technically query the hosted Epic environment and securely land source-system data into structured storage environments. The position is foundational to the organization’s modern data architecture and analytics strategy, enabling downstream Silver/Gold transformations and enterprise reporting initiatives.

This role will partner with IT, analytics, security, and platform engineering teams to ensure reliable, governed, and scalable data ingestion pipelines. Success in this role establishes the backbone for enterprise-wide data visibility and advanced analytics capabilities.

This role sits at the architectural foundation of the company’s data modernization strategy. Rather than simply running reports, this individual will unlock access to one of the most critical healthcare data assets in the organization and enable the entire analytics ecosystem.

As enterprise data architecture maturing, this role offers exposure to cloud data platforms, data governance strategy, and advanced AI-driven analytics enablement. The individual will have the opportunity to design scalable ingestion patterns that support machine learning, predictive modeling, and executive decision intelligence.

This position is ideal for someone who enjoys solving complex data access challenges, building structured ingestion frameworks, and creating technical systems that power enterprise-wide impact. The satisfaction comes from engineering reliable pipelines that become the trusted source of truth across the organization.

Within the first six months, implement secure, compliant extraction processes to migrate designated Clarity and Caboodle datasets from the cloud-hosted environment into the enterprise Bronze data layer. Design and deploy repeatable ingestion pipelines using approved data engineering standards, ensuring data completeness, lineage tracking, and governance compliance. Deliver at least five high-priority domain datasets successfully landed in Bronze with documented validation controls and less than 1% reconciliation variance.

This objective may be enhanced using AI-assisted schema discovery and automated metadata extraction tools to accelerate understanding of the Epic data model.

By month nine, architect standardized data ingestion templates, transformation frameworks, and orchestration workflows that allow additional Epic domains to be migrated efficiently and securely. Establish documentation, version control, and monitoring systems that reduce manual intervention and enable reliable scheduled loads. Success will be measured by reducing ingestion cycle time by at least 30% and achieving 99% pipeline reliability. AI-enabled pipeline monitoring and anomaly detection tools may be leveraged to proactively identify ingestion failures or schema changes.

Within the first year, collaborate with analytics and BI teams to ensure Bronze-layer data supports downstream Silver/Gold transformations, reporting, and advanced analytics initiatives. Deliver validated datasets with clearly defined business logic, lineage documentation, and reconciliation protocols. Measure success by improved downstream reporting accuracy, reduced data access delays, and stakeholder satisfaction scores indicating increased confidence in enterprise data availability. AI-based data quality scoring and…