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Aidoc

Builds AI that flags urgent findings in medical scans

Senior Data Engineer

Data EngineeringUpdated on Nov 10
Full-timeTel Aviv-Yafo, IsraelNo salary listed

About the Job

Requirements

  • A BSc or MSc in Computer Science, Engineering, or a related field is required.
  • Have 8 or more years of experience building data or backend systems in Python or a similar coding language, with a strong focus on cloud data infrastructure and scalable systems.
  • Have a strong command of SQL and a track record of pragmatic schema design.
  • Have a deep understanding of data modelling, ETL processes, and streaming technologies, including hands-on experience with big-data tools such as AWS Kinesis, Kafka, and Spark.
  • Be familiar with modern lakehouse and warehouse technologies such as Databricks, Delta Lake, Iceberg, Snowflake, and Redshift.
  • Have a strong understanding of distributed systems, microservices architecture, containerization, and CI/CD pipelines.
  • Be proficient with Infrastructure as Code tools such as Terraform or AWS CDK.
  • Have experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Be able to take full product ownership from ideation to delivery, ensuring alignment with business objectives.
  • Be familiar with agile development methodologies.
  • Have clear English communication skills and be able to work effectively across teams with a customer-oriented mindset.

Responsibilities

  • Design and develop scalable, reliable, and secure data infrastructure and build ETL pipelines that handle diverse clinical data for research.
  • Write production SQL and Spark jobs, and craft schemas that evolve as research and production questions change.
  • Automate releases with CI/CD and Infrastructure as Code.
  • Optimize throughput, latency, and cloud cost to meet research timelines at large scale.
  • Develop and maintain high-quality, scalable, and efficient code, and foster continuous improvement through regular retrospectives and knowledge sharing.
  • Own the full development lifecycle, including requirement gathering, design, implementation, testing, deployment, and ongoing maintenance.
  • Collaborate with data scientists, data analysts, product managers, regulatory teams, and other developers to develop tools and features supporting Aidoc's mission.
  • Explore and adopt technologies and frameworks that can enhance the Data-Nexus team's capabilities and its data projects.

Desired Qualifications

  • Have deep expertise in Databricks, including Delta Lake, Unity Catalog, and DLT.
  • Have knowledge of medical technology, including EHR data standards such as HL7 and FHIR, and imaging data.
  • Have prior experience in regulated domains such as healthcare, fintech, or aviation, and experience enforcing and managing compliance requirements such as HIPAA or FedRAMP.

About the Company

Aidoc

Builds AI that flags urgent findings in medical scans

Aidoc uses artificial intelligence to analyze medical images and assist radiologists. Its aiOS platform plugs into hospital PACS and runs in the background to flag urgent findings on CT and X-ray scans, sending alerts to radiologists and clinical teams to speed diagnosis and treatment. It operates as an enterprise system that can run Aidoc’s own algorithms alongside third-party AI apps within existing workflows. The company aims to improve patient outcomes and hospital efficiency by triaging time-sensitive cases and is regulated with FDA clearances and CE marks while pursuing CARE to accelerate the development of new imaging algorithms.

Company size
501-1,000
Company stage
Series E
Total funding
$563.5M
Headquarters
Tel Aviv-Yafo, Israel
Founded
2016

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