DataOps Analyst — AI-Driven Medical Robotics

Horizonsurgicalsystems; Los Angeles (CA); On-site; USD 100,000 - 115,000; Full time

Benefits offered by this job

Competitive compensation

Excellent company-paid benefits package

Mentorship opportunities

Job summary

Horizon Surgical Systems Inc. is seeking a DataOps Analyst to enhance the management of surgical data related to their innovative AI-driven robotic systems. Based in Santa Monica, you will work alongside seasoned engineers to ensure reliable data pipelines between their cataract surgery platform and a cloud environment. The role offers mentorship and the chance to make a significant impact in surgical ophthalmology.

Required qualifications include a Bachelor’s degree in Computer Science or Data Science, 2+ years of data operations experience, and proficiency in Python and AWS. The position offers competitive compensation, benefits, and opportunities for growth.

Qualifications

• 2+ years of experience in data operations, engineering, or analysis.
• Ability to build and maintain ETL/ELT workflows.
• Experience monitoring and troubleshooting data pipelines.

Responsibilities

• Move and manage data between Polaris and AWS cloud.
• Build and maintain ETL/ELT workflows.
• Collaborate with AI/ML engineers on datasets.

Skills

Python for data manipulation and scripting

AWS ecosystem knowledge

Linux/Bash fluency

Version control with Git

Data quality documentation

Good communication skills

Education

Bachelor's degree in Computer Science or Data Science

Tools

AWS (S3, Lambda, Glue)

Linux

Job description

Horizon Surgical Systems Inc. is seeking a DataOps Analyst to enhance the management of surgical data related to their innovative AI-driven robotic systems. Based in Santa Monica, you will work alongside seasoned engineers to ensure reliable data pipelines between their cataract surgery platform and a cloud environment. The role offers mentorship and the chance to make a significant impact in surgical ophthalmology.

Required qualifications include a Bachelor’s degree in Computer Science or Data Science, 2+ years of data operations experience, and proficiency in Python and AWS. The position offers competitive compensation, benefits, and opportunities for growth.