Rad AI

4 weeks ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior Data Engineer at Rad AI to design and maintain scalable data pipelines, integrate large-scale data processing with Spark, Metaflow, and AWS, collaborate with researchers on model training, and ensure data quality, security, and performance across a high-scale data platform in a healthcare AI setting.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•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 internal standards for style, maintenance, and best practices for a high-scale data platform
•Collaborate with researchers and stakeholders to understand data needs including model training and production monitoring systems
•Take ownership of key data engineering projects and design, develop, and maintain high-quality data solutions
•Ensure data quality, integrity, and security through robust data validation, monitoring, and access controls

Pay and Benefits

Salary: USD 145,000 - 190,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kRemote WorkLife Insurance

Key Requirements

•5+ years of experience in data engineering
•Experience designing and developing distributed data pipelines using big data technologies on large-scale data sets
•Hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products
•Strong experience with AWS data processing services (e.g., Amazon EMR, AWS Batch) and Spark
•Experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, ElasticSearch) and containerization (Docker, Kubernetes)

Experience:5+ yearsData engineeringHealthcareAi

Skills:CommunicationCollaborationProblem-solving

Tech Stack:SparkMetaflowAWSAmazon EMRAWS BatchSQLNoSQLDynamoDBElasticSearchPostgreSQLDockerKubernetes

Company Brief

Rad AI

Builds generative AI solutions for radiology to automate report writing, reduce radiologist burnout, and improve patient follow-up and care across health systems and radiology practices.

Industry: HealthTech

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2018

Glassdoor: 4.6

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Rad AI

4 weeks ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•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 internal standards for style, maintenance, and best practices for a high-scale data platform
•Collaborate with researchers and stakeholders to understand data needs including model training and production monitoring systems
•Take ownership of key data engineering projects and design, develop, and maintain high-quality data solutions
•Ensure data quality, integrity, and security through robust data validation, monitoring, and access controls

Pay and Benefits

Salary: USD 145,000 - 190,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kRemote WorkLife Insurance

Key Requirements

•5+ years of experience in data engineering
•Experience designing and developing distributed data pipelines using big data technologies on large-scale data sets
•Hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products
•Strong experience with AWS data processing services (e.g., Amazon EMR, AWS Batch) and Spark
•Experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB, ElasticSearch) and containerization (Docker, Kubernetes)

Experience:5+ yearsData engineeringHealthcareAi

Skills:CommunicationCollaborationProblem-solving

Tech Stack:SparkMetaflowAWSAmazon EMRAWS BatchSQLNoSQLDynamoDBElasticSearchPostgreSQLDockerKubernetes

Company Brief

Rad AI

Builds generative AI solutions for radiology to automate report writing, reduce radiologist burnout, and improve patient follow-up and care across health systems and radiology practices.

Industry: HealthTech

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2018

Glassdoor: 4.6

Website LinkedIn Glassdoor