Data Engineer Co-Op

Summary

Join Verana Health's Data Engineering team as a Data Engineer Co-Op for a 2-month internship. You will design and implement scalable, reliable, and secure data engineering solutions on a cloud environment, translating business needs into effective solutions. Build large-scale data pipelines using distributed data processing techniques to support data science and application teams. Collaborate with cross-functional stakeholders, including product managers and data scientists. Contribute to data governance across the Verana Health data platform. This is a temporary position; relocation is encouraged for candidates willing to relocate. Applicants must be authorized to work in the U.S.

Requirements

• Current enrollment in a Bachelors or Masters degree program with a focus in computer science, software engineering, or related scientific discipline
• Strong understanding of Object Oriented programming and proficiency with hands on programming in Python to build scalable algorithms
• Hands on knowledge and understanding of SQL and analytical querying ability
• Experience with relational/columnar databases
• Passion towards healthcare and improving patient outcomes
• Demonstrate analytical thinking with strong problem solving skills
• Willingness to learn and openness to newer technologies

Responsibilities

• Design and implement data engineering solutions that is scalable, reliable and secure on the Cloud environment
• Understand and translate Verana Health’s business needs into data engineering solutions
• Build large scale data pipelines that can handle big data sets using distributed data processing techniques that supports the efforts of the data science and data application teams
• Partner with cross-functional stakeholder including Product managers, Architects, Data Quality engineers, Application and Quantitative Science end users to deliver engineering solutions
• Contribute to defining data governance across the Verana Health data platform

Preferred Qualifications

• Experience with Agile environment
• Experience in building ETL Data Pipelines