Job Url: https://www.remoterocketship.com/company/clearnotehealth/jobs/data-engineer-senior-data-engineer-lead-data-engineer-united-states-remote Job Description: ClearNote Health Website LinkedIn All Job Openings ClearNote Health – Cancer detection company enabling people at risk for high-mortality cancers to live longer, healthier lives. 11 - 50 employees Data Engineer - Senior Data Engineer - Lead Data Engineer 6 hours ago πŸ„ California – Remote πŸ’΅ $140k - $250k / year ⏰ Full Time 🟠 Senior 🚰 Data Engineer Python SQL Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ Partner with stakeholders across the company to understand their data needs and the systems generating that data. β€’ Design and implement a scalable, sustainable and reliable data operations strategy. β€’ Own the architecture and ongoing evolution of our enterprise data warehouse. β€’ Develop and maintain data contracts between systems of record and the warehouse to ensure data quality and transparency. β€’ Continuously improve the architecture and pipelines for ingesting, transforming, and delivering data. β€’ Create and maintain high-quality documentation for systems, pipelines, and data models. β€’ Collaborate with QA and Regulatory teams to ensure data systems support clinical and regulatory requirements. β€’ Work closely with the R&D team to capture, organize and analyze NGS-based laboratory data from R&D and production environments. β€’ Collaborate with BI team to deliver data from scientific analysis to our business intelligence platform. 🎯 Requirements β€’ Bachelor's degree in Computer Science, Information Systems, Laboratory Science, or a related field; Master’s degree preferred. β€’ 3+ years of experience in data engineering or data operations roles. β€’ Strong proficiency in SQL and Python. β€’ Demonstrated experience with data warehousing and transforming raw data into useful models for business and scientific use. β€’ Excellent written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams. β€’ Experience working with scientific data, particularly from next-generation sequencing (NGS), is strongly preferred. β€’ Familiarity with common bioinformatics data formats is a plus. β€’ Bonus: Familiarity with laboratory workflows and relevant regulatory standards (e.g., FDA, CLIA, ISO). πŸ–οΈ Benefits β€’ Generous benefits including stock options