Senior Data Engineer

Job summary

On this journey for over 12 years, Qve*** is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

Benefits

Qualifications

• and quality checks.
• You will be data curious and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.
• and lead data initiatives from start to finish, while collaborating extensively with cross-functional, non-technical teams to inform and shape product development.
• Bonus Points For
• 5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
• Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
• Experience with data visualization

Responsibilities

• At Qve***, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients.
• As a Senior Data Engineer, you will lead the design, development, and management across investments data assets & data pipelines.
• You will identify, monitor, and lead initiatives to collect, explore, and model data in close partnership with our data modeling lead and integrations partners.
• You will work closely with solution experts to design, iterate, and develop strategic enhancements to our Qve*** foundational data model.
• You will be adept in partnering with cross-functional partners and data users to translate functional needs into data
• Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl.
• pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to our core products and the healthcare domain.
• Translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl.
• designing data structures, building and scheduling data transformation pipelines, improving transparency etc.).
• Set the standard for data engineering practices within the company, guiding the architectural approaches, data pipeline designs, and the integration of cutting-edge

Skills

Certifications

Degrees

Industry

Company size

Contract length