Verana Health
Verana Health
Verana Health este o companie de date din domeniul sănătății care îmbină inteligența artificială și învățarea automată cu expertiza clinică pentru a transforma datele din lumea reală în informații utile pentru îngrijirea pacienților și cercetarea medicală. Activitatea sa acoperă oftalmologia, neurologia și urologia și se bazează pe parteneriate cu societăți medicale și organizații farmaceutice. Verana Health sprijină dezvoltarea clinică și comercializarea prin servicii de cercetare, inclusiv proiectarea studiilor, recrutarea pacienților și informații despre piață bazate pe baze de date extinse și date aproape în timp real.

Senior/Staff Backend Engineer, Platform and Data Ingestion

Build and scale clinical data ingestion, OCR, OpenSearch, and oncology platform services at Verana Health. Design APIs, ETL pipelines, and microservices that support real-world healthcare insights.

Descriere

  • Build and scale resilient pipelines for high-volume clinical data.
  • Connect ingestion pipelines with the core oncology platform architecture.
  • Manage OpenSearch indexing and queries, and tune cluster performance.
  • Develop OCR workflows that turn unstructured patient timelines into structured data.
  • Extend the oncology data model with microservices and automated, medically defined quality checks.
  • Apply AI tools to automate routine setup and boilerplate work.
  • Build ETL pipelines, high-performance REST APIs, and microservices.
  • Take part in code and design reviews.
  • Shape technical decisions for system components.
  • Mentor fellow engineers.
  • Investigate and fix data and quality problems.
  • Report to the Senior Director of Engineering and coordinate across the Core Engineering and Data Ingestion teams.

Cerințe

  • At least 6 years of professional experience building scalable, reliable APIs, microservices, and high-volume ETL or ingestion processes.
  • Substantial professional experience with functional languages, especially Scala and Elixir, and/or typed languages such as Java, C#, or C++.
  • Experience using OpenSearch or Elasticsearch for complex indexing.
  • Exposure to OCR pipelines, document parsing, or natural language text processing.
  • At least 4 years of data modeling experience with structured and unstructured datasets.
  • Strong SQL programming and query optimization skills.
  • Experience with transactional OLTP databases such as Postgres or MySQL.
  • Experience with analytical OLAP systems such as Databricks, Snowflake, or BigQuery.
  • Comfort using coding assistants, automated scripts, or agentic tools.
  • Strong understanding of distributed server-side architectures and reactive principles.
  • Experience integrating with AWS and/or GCP.
  • Experience with messaging or streaming systems such as Amazon SQS, Kafka, or Google Pub/Sub.
  • Excellent written and verbal communication skills.
  • Ability to collaborate across engineering and product teams.
  • Must be legally authorized to work in the United States.
  • Must live within 50 miles of the San Francisco or New York City office.
  • Must attend in-person interviews at either the San Francisco or New York City office.

Beneficii

  • Market-leading medical, dental, and vision insurance plans.
  • 401(k) matching.
  • Flexible time off programs.
  • Paid parental leave.
  • Annual learning and wellness stipend.
  • Wellness apps, including Headspace.
  • Remote-friendly work arrangement, with remaining workdays from home.

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