3 months ago
Base Salary
$145k - $200k/yr
Responsibilities
- Design and implement scalable, flexible, and efficient data architecture using Apache Airflow, AWS Glue, Spark, and large-scale data processing technologies.
- Define and extend internal standards for data platform style, maintenance, and best practices.
- Collaborate with researchers and stakeholders to support data needs for model training and production monitoring systems.
- Own, design, develop, maintain, and document high-quality data engineering solutions and infrastructure.
- Ensure data quality, integrity, and security through data validation, monitoring, and access controls.
- Evaluate and recommend data technologies and tools to improve data engineering efficiency and effectiveness.
Requirements
- 5+ years of relevant data engineering experience.
- Expertise designing and developing distributed data pipelines using big data technologies and large-scale datasets.
- Deep hands-on experience designing, planning, productionizing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments.
- Experience with SQL, NoSQL databases, AWS DynamoDB, Elasticsearch, and PostgreSQL.
- Experience building and maintaining data infrastructure with infrastructure as code such as Terraform.
- Prior software engineering experience is a plus.
- Experience at an early-stage startup, in a HIPAA-compliant environment, or on machine learning or healthcare projects is preferred.
Benefits
- Comprehensive medical, dental, vision, and life insurance.
- HSA with employer match, FSA, and DCFSA.
- 401(k).
- 11 paid company holidays and flexible PTO.
- Annual company-wide offsite and periodic team offsites.
- Annual equipment stipend.
- The posting describes location options including San Francisco onsite four days per week or remote work for candidates located anywhere in the United States, depending on the listed role location.
Tech Stack
Categories
Data Engineering
About Rad AI
Rad AI builds AI software for radiologists and health systems to streamline reporting and radiology workflows, integrating with PACS and EHR systems. Products include generative AI tools for report drafting and quality improvement used by radiology groups and hospitals such as Cone Health, Geisinger, and Henry Ford Health. Founded in 2018, the privately held company is headquartered in San Francisco.