Note: The job is a remote job and is open to candidates in USA. Qventus, Inc is leading the transformation of healthcare through innovative solutions that harness machine learning and AI. They are seeking a Senior Data Engineer to design, develop, and manage data assets and pipelines to support their products and improve healthcare operations.
Responsibilities
- 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
- Facilitate the technical management of data assets - clearly tracking and maintaining context on the data within the dataset lifecycle and sustaining tight partnerships with immediate partners on ingestion & solution data engineering
- 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 technologies to foster a culture of innovation and continuous improvement
Skills
- Excellent cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike
- Innate aptitude for interpreting complex datasets with demonstrated ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills. (Healthcare experience preferred)
- Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML
- Proven ability to independently handle ambiguous project requirements and lead data initiatives from start to finish, while collaborating extensively with cross-functional, non-technical teams to inform and shape product development
- 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
- Relevant industry certifications in a variety of Data Architecture services (Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro® Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, and dbt Analytics Engineering)
- Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
- Experience with data visualization tools and analytics technologies (Sigma, Looker, Tableau, etc.)
- Degree in Computer Science, Engineering, or related field
Benefits
- Open Paid Time Off
- Paid parental leave
- Professional development
- Wellness and technology stipends
- A generous employee referral bonus
- Employee stock option awards
Company Overview