Data Engineer II

Summary

Join RefinedScience's dynamic team as a Data Engineer II and build data pipelines for discovery suites supporting organizational needs. You will create, maintain, and test code for generating these suites, conduct troubleshooting on data quality reports, and collaborate with various teams. The ideal candidate possesses strong healthcare data understanding, particularly in research and development. This role involves developing and deploying data pipeline code, troubleshooting issues, implementing designs, executing data deployment and QA jobs, building monitoring jobs, and creating technical documentation. The position requires a BSc with 3+ years of experience in healthcare data and proficiency in Python and SQL. A willingness to travel is also required.

Requirements

• Sc. with 3+ years of working experience in healthcare data, data management, or related data discipline
• Superb attention to detail
• Demonstrable evidence of learning and problem-solving skills
• Experience in Python and SQL
• Experience in Agile methodologies
• Experience working in GCP, and GitHub
• Experience working in a collaborative environment being a team player
• Willingness to travel to RefinedScience location (Denver, CO) approximately once per quarter and travel up to 15%)

Responsibilities

• Develop and deploy data pipeline code defined by Sr Engineer to curate and process clinical data sourced from electronic health records
• Field and troubleshoot problems/issues/bugs
• Complete routine coding tasks and maintenance
• Implement designs developed in collaboration with senior engineers and internal stakeholders
• Execute manual data deployment and updating jobs
• Execute manual QA jobs
• Review QA output and raise issues with the team
• Build monitoring jobs
• Be a liaison for the Data Management Team
• Create and maintain technical documentation for cloud-based solutions and processes
• Maintain up-to-date knowledge of cloud technology trends and advancements

Preferred Qualifications

• Working knowledge of BI tools (Looker, Tableau, Power BI)
• Experience working with electronic health records (EHR) data
• Experience working in early-stage Biotech environment
• Working knowledge of Microservices
• Working knowledge of APIs
• Working knowledge of Automation tools
• Experience with unit testing

Benefits

• Medical, Dental and Vision insurance
• Life, AD&D, Short-term and Long-term Disability Insurance (none is100% covered)
• HSA Spending Accounts
• 22 Vacation days
• 10 Paid Holidays and Sick Time (120 hours per year)
• 401(K) Plan