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Senior Data Engineer

·Israel
HybridFull-timeData EngineeringMental Health Care

Senior Data Engineer needed to design, build, and maintain robust data pipelines and infrastructure supporting ML/AI-powered products. Collaborate with engineering and data science teams to ensure data quality, reliability, and scalability.

Responsibilities

  • Design, implement, and maintain scalable and reliable data pipelines and backend systems.
  • Ensure data processing is optimized for speed, efficiency, and fault tolerance.
  • Monitor and improve uptime, reliability, and observability of data infrastructure.
  • Build and maintain systems for data quality, consistency, and usability.
  • Work closely with product and engineering teams to deliver new features rapidly.
  • Drive innovation in data features, backend services, and AI product integrations.
  • Participate in on-call rotations with a service-oriented approach.
  • Lead scalability efforts for increasing data volumes and AI/ML initiatives.

Requirements

  • At least 5 years of experience with Python in backend or data engineering roles.
  • Experience designing and operating large-scale data pipelines and data infrastructure.
  • Hands-on experience with ML/AI-powered products in production environments.
  • Familiarity with modern LLM and RAG technologies.
  • Experience with data processing and streaming technologies (Spark, DBT, Airflow, Kafka, etc.).
  • API development skills (FastAPI, micro-services, SFTP).
  • Data storage expertise (Data Lakehouse, Apache Iceberg, Vector Databases, RDS).
  • Cloud infrastructure experience with AWS (S3, Firehose, Lambda, Athena) and Kubernetes.
  • Demonstrated ability to optimize performance, availability, and scalability.
  • Strong foundation in data quality, governance, security, and observability.
  • Effective collaboration with cross-functional engineering, data science, and product teams.
  • Innovative mindset for feature-level implementations and AI/data integrations.

Benefits

  • Significant equity
  • Hybrid work opportunities
  • Mental health days off when needed

Relevance

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