Senior Data Engineer

Summary

Join Qventus, a healthcare transformation leader, as a Senior Data Engineer. You will play a pivotal role in developing and managing data pipelines for our AI-driven solutions. Lead the design and development of data pipelines, ensuring scalability and reliability. Collaborate with cross-functional teams to unlock new features and drive innovation. Improve patient and doctor experiences by integrating complex data sources. Your work will directly impact patient lives and contribute to Qventus's mission of improving healthcare.

Requirements

• Proven experience as a Data Engineer
• 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
• Expertise in Python, SQL, and familiarity with AWS tools, Databricks, and DBT
• Strong understanding of database structure systems and data mining
• 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
• 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

Responsibilities

• Lead the design, development, and management across investments to platform, model infrastructure, and data pipelines in support of data intensive AI solutions
• Work closely with a close knit team of solution experts & innovators to design, iterate, and develop key pipelines to unlock new solution functionality, analytical insights, and machine learning features
• Identify, monitor, and lead initiatives to ensure our data platform remains scalable, reliable, and efficient in light of evolving data requirements of our products and services - particularly in the rapidly changing Gen AI / LLM ecosystem
• Partner with cross-functional stakeholders & peers to translate data needs into technical solutions with rigorous technical scope to enable more junior engineers
• 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.)
• Engage in the rapid new AI product development from concept to deployment, ensuring robust platform supporting easy iteration and monitoring
• 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

Preferred Qualifications

• Experience with Data Science and machine learning techniques, particularly operationalizing models in production environments and working with novel techniques (LLM, Gen AI)
• Experience navigating high compliance (HIPAA) data ecosystems
• Experience with data visualization tools and analytics technologies (Looker, Tableau, etc.)
• Prior exposure to Agile development environments

Benefits

• Open Paid Time Off
• Paid parental leave
• Professional development
• Wellness
• Technology stipends
• Generous employee referral bonus
• Employee stock option awards