Oasis Health Partners · 5 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

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Hospitals and Health Care

Hiring Manager

Jaimee Gertz

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Responsibilities

Developing and managing data processing pipelines that support various products and services

Focus on data integration, maintenance and enhancement

Build the necessary tables and frameworks to support the integrations of our systems, including ingesting data back from those systems and storing for deeper reporting and analytics

Build and maintain foundational data models

Design, implement, and oversee the integration automation processes

Collaborate with both internal teams and external partners to troubleshoot and resolve any integration issues

Create and maintain documentation: data dictionaries, technical designs, coding standards, best practices and other documentation to support data architecture

Translate product requirements and technical designs into well-engineered, low-defect, robust code.

Ensure data integrity and security by implementing appropriate measures and protocols.

Participate and engage in all Scrum Ceremonies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data processing pipelinesData integrationData modelsIntegration automationData integrityDocumentationScrum ceremoniesTechnical designsCoding standardsData architectureMonitoringAlerting

Required

Self-driven engineer who is excited about building integrations between various vended solutions.

Familiarity with platform tools (Ursa, Cozeva, Regal, Zus, Episource).

Ability to build pipelines and integrations.

Ability to manage work to timelines in an autonomous environment.

Effective communicator.

Developing and managing data processing pipelines that support various products and services.

Focus on data integration, maintenance and enhancement.

Build the necessary tables and frameworks to support the integrations of systems.

Build and maintain foundational data models.

Design, implement, and oversee the integration automation processes.

Collaborate with both internal teams and external partners to troubleshoot and resolve integration issues.

Create and maintain documentation: data dictionaries, technical designs, coding standards, best practices and other documentation to support data architecture.

Translate product requirements and technical designs into well-engineered, low-defect, robust code.

Ensure data integrity and security by implementing appropriate measures and protocols.

Participate and engage in all Scrum Ceremonies.