DataOps Analyst

About the role

The DataOps Analyst will play a crucial role in moving and managing surgical data between Polaris, our cataract surgery platform, and our cloud environment for custom AI model training. This role involves building and maintaining ETL/ELT workflows, monitoring pipeline health, and collaborating with AI/ML engineers.

Responsibilities

• Migrate and manage data between Polaris and AWS cloud training environment
• Build and maintain ETL/ELT workflows using Python and Bash
• Monitor pipeline health and troubleshoot failures
• Maintain data catalogs, versioning, and audit trails
• Curate, version, and validate training and test datasets
• Write scripts and automation tools to reduce manual data handling
• Support data requests from cross-functional teams
• Generate dashboards and reports on pipeline health, data quality, and throughput metrics

Requirements

• Bachelor's degree in Computer Science, Data Science, or related field or equivalent experience
• 2+ years of experience in data operations, data engineering, or data analysis
• Proficiency in Python for data manipulation, scripting, and automation
• Strong understanding of the AWS ecosystem (S3, Lambda, Glue, etc.)
• Experience working in Linux environments and writing Bash scripts
• Git-fluent: version control is part of your daily workflow
• Attention to data quality and clear documentation
• Good communication skills with technical and non-technical stakeholders

Qualifications

• Experience in a medical, clinical, or regulated environment (e.g., FDA, ISO 13485)
• Background in image processing or computer vision workflows
• Knowledge of statistics (data distributions, sampling methods, quality metrics)
• Familiarity with DICOM or ophthalmic imaging data (OCT, surgical microscopy)
• Experience with ML data lifecycle concepts (dataset versioning, data drift, model validation sets)

Skills

• Python programming
• Linux/Bash scripting
• AWS ecosystem (S3, Lambda, Glue)
• Data catalog management
• ETL/ELT workflows
• Collaboration with AI/ML engineers

Benefits

Competitive compensation, comprehensive benefits package, stock options, and a generous PTO policy.

Pay

$100,000–$115,000 base salary, plus performance-based annual bonus.

Schedule

Full-time position based in Santa Monica.