Senior Backend Data Engineer
Eleos Health
שכר לא צויןTel Aviv, Israel, היברידיסניורמשרה מלאה
משרה חיצונית, ההגשה באתר החברהאושר שהמשרה פתוחה לפני 11 שעות
Design and maintain data pipelines and backend systems that support Eleos Health’s operational and analytical needs. The role enables AI/ML products and works with engineering, product, and data science teams to deliver reliable data services.
מה תעשו
- Design, implement, and maintain scalable data pipelines and backend systems.
- Optimize data processing for speed, efficiency, and fault tolerance.
- Monitor and improve infrastructure uptime, reliability, and observability.
- Build systems for data quality, consistency, and usability.
- Work with product and engineering teams to deliver features.
- Participate in on-call rotations and lead scalability efforts.
דרישות
- At least 5 years of Python experience in backend or data engineering roles.
- Experience designing and operating production data pipelines, backend services, and data infrastructure.
- Hands-on experience with ML/AI-powered products in production.
- Experience optimizing performance and ensuring high availability, scalability, and reliability.
- Strong foundation in data quality, governance, security, and observability.
יתרון
- Familiarity with LLM and RAG technologies and experience supporting their deployment or integration.
- Experience with technologies such as Spark, DBT, Airflow, Airbyte, Kafka, FastAPI, SFTP, Iceberg, vector databases, RDS, AWS, and Kubernetes.
- Experience with ML/LLM libraries and frameworks such as Gemini or Hugging Face.
תנאי סף
- At least 5 years of Python experience in backend or data engineering roles
- Hands-on experience working on ML/AI-powered products in production
הטבות
- Significant equity
- Hybrid work opportunities
- Mental health days off
PythonApache SparkAirflowKafkaFastAPIAWSKubernetesRAG