[Hiring] Senior Data Engineer @Qventus

Role Description

Qventus is looking for a Senior Data Engineer to pioneer new data solutions at Qventus. Our Data team ensures that Qventus data users have the data they need to build and drive new and existing Qventus products at scale and cost. This includes:

• Bidirectional integration with hospital EMR sources via multiple channels (e.g., FHIR)
• Complex highly secure (HIPAA) transformations capable of normalizing information across various workflows and client nuances
• Integration with & discovery of multiple third-party datasets from customer data to big-data claims

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
• Work closely with solution experts to design, iterate, and develop strategic enhancements to our Qventus foundational data model
• Partner with cross-functional partners and data users to translate functional needs into data requirements and quality checks
• Be data curious and excited to have an impact on the team and in the company to improve the quality of healthcare operations

Qualifications

• 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 (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

Requirements

• 5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production
• Relevant industry certifications in a variety of Data Architecture services (e.g., 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 (e.g., Sigma, Looker, Tableau)
• 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