Data Engineer ll

Key Skills

Ansible, AWS, C Programming, C++, Cloud computing, Data Analytics, Data Biuld Tool - dbt, Data Modeling, Data science techniques, Data Warehousing, Effective communication skills, Java Programming, Looker, Python Programming, Snowflake, Terraform

Job Description

Qventus is looking for a Data Platform Engineer II to help scale our solutions, focusing on our analytical and data science needs. The Data Platform team acts as stewards for Qventus’ data. We stream hospital EMR to our core warehouses in real time, build out curated data layers to power our Healthcare AI & Analytical insights and overall ensure Qventus data users have the tools they need to explore and power the Qventus product at scale and cost to improve the lives of patients and doctors across the country.

As a Data Platform Engineer II, you will build and own significant components of the Qventus solution pipelines. You will be comfortable designing, building, and leading cross-functional initiatives with analytical and data science partners - from schema design, to pipeline design, to scaling services to support company expansion within the healthcare space (and HIPAA restrictions). You will have a strong passion for well designed data models and be motivated and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.

Key Responsibilities

• 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.

Key Qualifications

• 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.

Nice to Have Skills

• 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)