Senior Data Engineer, Rad AI

$145-190k

+ Equity

SQL
AWS
Docker
Kubernetes
Elasticsearch
Postgres
Spark
DynamoDB
Mid and Senior level
Remote from US
Rad AI

AI systems for radiologists

Open for applications

Rad AI

AI systems for radiologists

101-200 employees

HealthcareB2BArtificial IntelligenceScienceMedTech

Open for applications

$145-190k

+ Equity

SQL
AWS
Docker
Kubernetes
Elasticsearch
Postgres
Spark
DynamoDB
Mid and Senior level
Remote from US

101-200 employees

HealthcareB2BArtificial IntelligenceScienceMedTech

Company mission

Rad AI's mission is to empower radiologists with AI — saving radiologists time, reducing burnout, and helping to improve the quality of patient care.

Role

Who you are

  • 4+ years relevant experience in data engineering
  • Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets
  • Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments
  • Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR and AWS Batch
  • Experience in large scale data processing technologies such as Spark
  • Expertise in orchestrating workflows using tools like Metaflow
  • Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql)
  • Hands-on experience with containerization technologies, such as Docker and Kubernetes
  • Prior Software Engineering experience is a big plus

Desirable

  • Experience working at an early stage startup
  • Experience in a HIPAA compliant environment
  • Experience working on machine learning or healthcare related projects

What the job involves

  • We are seeking a Senior Data Engineer to join our engineering team
  • Given our large client growth and projected movement in the year ahead, we're seeking to expand this team and add a strong resource on board who will play an instrumental role in the construction and maintenance of data collection systems, pipelines and management tools
  • Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and large-scale data processing technologies like Spark
  • Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform
  • Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements
  • Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions
  • Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls
  • Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process
  • Continuously monitor, maintain, and improve the performance and stability of the data infrastructure

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Insights

Top investors

40% employee growth in 12 months

Company

Company benefits

  • 100% health, dental, & vision
  • Flexible PTO
  • WFH stipend
  • 401k plan
  • Stock options
  • Socials & off-sites

Funding (last 2 of 4 rounds)

Jan 2025

$60m

SERIES C

May 2024

$50m

SERIES B

Total funding: $139m

Our take

Burnout seems to be reaching unprecedented and unsustainable levels amongst physicians, and radiologists are one of the most heavily impacted groups. A number of surveys have show that around 50% of them suffer from high workloads, which are exacerbated by outdated software and laborious work processes.

Rad AI, which was co-founded by the youngest radiologist in US history, is making serious inroads in alleviating these issues with AI. Its two main products are designed to save time; one by automatically generating impressions from dictated findings, and the other through automating patient follow-ups.

The company has been adding updates to its reporting software and is on a rapid growth trajectory, landing a number of respected radiology practices as customers and claiming industry awards. It has also secured major investment towards sustaining this momentum moving forwards, as more practices turn to AI to positively impact their patient care.

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Kirsty

Company Specialist at Welcome to the Jungle