Data Engineer, Qventus

• 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

Desirable

• 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