Data Engineer

Rad AI
San Francisco, United States
Workplace: HybridFull timeUSD 145,000 - 190,000 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: []

Design and implement scalable data architecture and distributed data pipelines for a high-scale data platform used to support AI in healthcare. Own projects end-to-end, working with researchers to define data needs for model training and production monitoring. Build reliable infrastructure with Metaflow, Spark, AWS services, and robust data validation, monitoring, access controls, and performance improvements.

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FursaFursa
Rad AI
Rad AI
2 months ago

Data Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design and implement scalable data architecture and distributed data pipelines for a high-scale data platform used to support AI in healthcare. Own projects end-to-end, working with researchers to define data needs for model training and production monitoring. Build reliable infrastructure with Metaflow, Spark, AWS services, and robust data validation, monitoring, access controls, and performance improvements.
Location: San Francisco, United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement scalable data architecture using pipeline authoring tools like Metaflow and large-scale 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 develop solutions for model training and production monitoring needs.
  • •Own key data engineering projects, designing, developing, and maintaining high-quality data solutions independently.
  • •Ensure data quality, integrity, and security using validation, monitoring, and access controls; continuously monitor and improve infrastructure performance and stability.

Pay and Benefits

Salary: USD 145,000 - 190,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceHsaFsa401kPaid LeaveEquipment Stipend

Key Requirements

  • •5+ years relevant experience in data engineering.
  • •Expertise designing and developing distributed data pipelines on large-scale data sets.
  • •Hands-on experience building, productionizing, maintaining, and documenting scalable data infrastructure and data products.
  • •Solid experience with big data processing and analytics on AWS (e.g., Amazon EMR, AWS Batch).
  • •Experience with workflow orchestration (e.g., Metaflow) and large-scale processing technologies such as Spark.
Experience:5+ years
Tech Stack:MetaflowSparkAWSAmazon EMRAWS BatchSQLDynamoDBElasticsearchPostgresqlDockerKubernetes

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
Glassdoor: 4.6
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