Remote Data Engineer

Description:

• Design, build, and maintain scalable data pipelines and warehouse models for life science and healthcare data.
• Ensure data accuracy, consistency, and timeliness through efficient orchestration and transformation processes.

Requirements:

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• Advanced SQL skills and expertise in data warehouse development, including dimensional modeling and SCDs.
• Proficiency with ETL tools (dbt, Python, SSIS, PowerCenter) and experience with Git.
• Availability to work during US Eastern business hours.
• Experience with life science or healthcare data and knowledge of cloud platforms (Azure or AWS).
• Preferred experience with Snowflake and dbt models, along with relevant certifications.

Benefits:

• Mission-driven work aimed at improving patients' lives.
• Excellent medical benefits and flexible paid time off (PTO).
• Robust learning and development opportunities with access to over 700 courses.