Senior Data Engineer
BiorenderSalary not specified
- Full Time
- Senior (5 to 8 years)
$145,000 – $190,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Medical Imaging, Data EngineeringIndustries
Requirements
Candidates should possess at least four years of relevant experience in data engineering, demonstrating expertise in designing and developing distributed data pipelines and systems. They should have a strong understanding of scalability, flexibility, and efficiency in data architecture, utilizing pipeline authoring tools like Metaflow and large-scale data processing technologies such as Spark.
Responsibilities
The Senior Data Engineer will be responsible for designing and implementing the data architecture, ensuring its scalability and efficiency, and collaborating with researchers to understand and fulfill their data needs for model training and production monitoring. They will also define and extend internal standards for data style, maintenance, and best practices, taking ownership of key data engineering projects and ensuring data quality, integrity, and security through robust validation and access controls. Furthermore, they will evaluate and recommend data technologies, continuously monitor and improve the data infrastructure’s performance and stability.
Skills
Distributed Data Pipelines
Metaflow
Spark
Large-scale Data Processing
Data Architecture
Data Quality
Data Security
Data Monitoring
Data Tools Evaluation
Rad AI
AI-driven software for radiology workflows
About Rad AI
Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.
Key Metrics
San Francisco, CaliforniaHeadquarters
2018Year Founded
$76.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees