Data Engineer ll
Confirmed live in the last 24 hours

51-200 employees

Care operations automation company
Company Overview
Qventus's mission is to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to healthcare operations.
United States
Experience Level
Desired Skills
Data Analysis
Data Science
Data Structures & Algorithms
Data & Analytics
  • Demonstrated experience in data modeling / schema design and transformation pipeline implementation in collaboration with data science and analytics partners
  • Experience developing & coordinating execution in a fast paced dynamic environment across multiple technologies
  • Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike
  • Interest in mentoring and supporting new developers particularly in data modeling and analytical collaboration
  • 3+ years of professional experience working with modern programming languages such as Java, C/C++, Python with a dedication to high code quality
  • Work closely with core data users to understand product needs and design, build, tune and improve our core data assets and the overall end-to-end workflow of data users at Qventus (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.)
  • Automate & manage the lifecycle of data sets (schema development, deprecation, and iteration)
  • Improve the data quality and transparency of the pipelines (defining data requirements, identifying and implementing data observability tooling - lineage, sources, transformations)
  • Work closely with core team members to develop, test, deploy, and operate high quality, scalable software and raise engineering standards
Desired Qualifications
  • Degree in Computer Science, Engineering, or related field, or equivalent training / experience
  • Competence participating in technical architecture discussions to help drive high quality technical development within your team
  • Practical hands on experience with:
  • Building large-scale, high complexity metrics and monitoring
  • ELK, DBT, Snowflake, AWS, Terraform, Looker, Ansible experience
  • Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake)