Data Engineer, Horizon Surgical Systems
$120-134k
+ Performance-based annual bonus, equity (stock options)
Advancing eye care with assistive surgical robotics
Open for applications
Advancing eye care with assistive surgical robotics
21-100 employees
Open for applications
$120-134k
+ Performance-based annual bonus, equity (stock options)
21-100 employees
Company mission
To transform cataract care with robotics and AI and make eye surgery more precise, consistent, and accessible - because restoring clear vision changes lives.
Role
Who you are
- The ideal candidate brings strong fundamentals in SQL and Python; and is eager to deepen their data engineering expertise in a fast-paced, regulated environment
- 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
- Experience with cloud infrastructure (AWS preferred) and containerized workflows
- Familiarity with version control (Git) and collaborative development workflows
- Eagerness to learn and grow in data engineering, including orchestration frameworks, data modeling, and infrastructure-as-code
- Effective communication skills for working closely with analysts, ML engineers, and cross-functional teams
Desirable
- Experience with Dagster or similar orchestration frameworks (Airflow, Prefect)
- Experience with data warehouse or lakehouse patterns (e.g., Snowflake, Delta Lake, dbt)
- Exposure to regulated environments (FDA, ISO 13485, IEC 62304) or medical device industry
- Familiarity with machine learning data lifecycle concepts (dataset versioning, data drift monitoring, model validation datasets)
- Knowledge of DICOM, medical imaging data standards, or ophthalmic imaging modalities (OCT, microscopy) is a plus
What the job involves
- The Data Engineer is responsible for designing, building, and maintaining the data pipelines that power AI model training, validation, and regulatory workflows for autonomous surgical robotics systems
- Working alongside the Data Operations Analyst, this role focuses on the engineering side of the data lifecycle: architecting reliable, scalable pipelines in Dagster, modeling data in SQL, and writing production-quality Python
- 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 requirements
- 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 requirements
- 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
Our take
With approximately 1 in 4 people developing cataracts over their lifetime, surgical procedures to remove them require delicate precision. The high demand for these surgeries means there are longer waiting times than ever before, and patient outcomes are inconsistent due to human error and limitations in dexterity.
Founded by faculty members at the University of California, Horizon Surgical Systems is a microsurgical robotics company aiming to pioneer the next generation of precision surgery to combat the condition and help minimise failures and waiting times for cataract treatment.
Horizon Surgical Systems’ flagship product Polaris merges advances in robotics, medical imagery and AI to elevate surgical precision in cataract surgery. And in 2025, the company reached a landmark milestone with the world's first cataract surgery performed using the Polaris platform, marking a huge step toward establishing a new standard of precision, consistency and safety in ophthalmic surgery as it advances further clinical studies and regulatory pathways.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Oct 2024
$30m
SERIES A
Total funding: $30m
Company HQ
Sunset Park, Santa Monica, CA
Leadership
Jean-Pierre Huschman
(Co-Founder & CEO)Previously a Professor at UCLA Jules Stein Eye Institute, UCLA Henry Samueli School of Engineering and Applied Science and a Member of the Faculty at UCLA Department of Bioengineering.
Jacob Rosen
(Co-Founder & CTO)Also a Professor at UCLA Henry Samueli School of Engineering and Applied Science and Co-Founder at Applied Dexterity, Inc.
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