Data Engineer

Job summary

Open Position – Data Engineer Hor*** Inc. Hor*** Inc. is revolutionizing the world of surgical ophthalmology by developing a novel, AI driven, and imaging-guided surgical robotic system.

Benefits

Qualifications

• Commitment to Excellence: We aim to deliver superior patient outcomes and surgeon experiences
• Build and maintain infrastructure for data ingestion from surgical robotic systems, annotation platforms, and internal sources into cloud storage (AWS S3).
• Implement data validation, testing, and monitoring within pipelines to catch anomalies and ensure data integrity.
• Support dataset versioning and lineage tracking to satisfy IEC 62304 and FDA Design History File
• Contribute to the design of data models, schemas, and catalogs in coordination with the Data Operations team.
• Troubleshoot and resolve pipeline failures, performance bottlenecks, and data inconsistencies.
• Participate in code reviews and contribute to engineering best practices for the data platform.
• Required
• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field, or equivalent practical experience.
• 2+ years of experience in data engineering, software engineering, or a related technical role.
• Strong proficiency in SQL for data transformation and analysis.
• Strong proficiency in Python for building data pipelines and automation.

Responsibilities

• Personal Accountability: We honor our commitments and take responsibility for our actions
• Design, build, and maintain data pipelines in Dagster to support AI model training, validation, and regulatory submission workflows.
• Write and optimize SQL for data transformation, modeling, and quality validation across the data platform.
• Develop Python-based tooling and automation to support data ingestion, transformation, and delivery.
• Collaborate with the Data Operations team to ensure pipeline outputs meet data quality, traceability, and compliance

Skills

Degrees

Industry

Company size