2 дня назад
Backend Engineer (Data Engineering)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (Data Engineering): Building production backend services, APIs, and batch and streaming data pipelines for an AI English tutor with an accent on data platforms, reactive processing, and analytical infrastructure. Focus on designing resilient event-driven systems, enforcing data quality and lineage, and operating distributed pipelines with Apache Flink, RxJava/Project Reactor, and dbt.
Location: Tel Aviv, Israel; hybrid
Company
develops a personal AI English tutor that provides conversational practice, immediate feedback, and guidance toward fluency.
What you will do
- Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines.
- Own batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
- Design trusted data models, shared metrics, and semantic-layer business logic for the analytical data platform.
- Define standards for data contracts, testing, lineage, freshness, observability, schema evolution, backfills, replay, and failure recovery.
- Collaborate with backend, frontend, AI, DevOps, analytics, and product teams to deliver reusable data capabilities.
Requirements
- At least 6 years of production software engineering experience, primarily in backend systems, including ownership of data-intensive platforms or infrastructure.
- Strong proficiency in Python, Java, and SQL, including testing, typing, performance optimization, and production debugging.
- Experience with backend service and API design, asynchronous and concurrent processing, failure handling, and operational reliability.
- Hands-on experience with AWS, Docker, Kubernetes, CI/CD, observability, relational and non-relational databases, ETL/ELT, and batch or streaming data systems.
- Production experience with Apache Flink, RxJava or Project Reactor, event-driven architectures, and Kafka or AWS SQS.
- Experience with data modeling, warehouse or lakehouse architecture, schema evolution, data quality, dbt, analytical data platforms, dataframe libraries, and Airflow or Dagster.
Nice to have
- Experience with Airbyte, Rivery, or AWS AppFlow.
- Experience with conversational AI, speech or audio systems, or real-time communication.
- Production experience with Go, Rust, Scala, or Kotlin.
- Contributions to open-source infrastructure projects.
Culture & Benefits
- Work in a cross-functional R&D environment with backend, frontend, AI, DevOps, analytics, and product teams.
- Take technical ownership of shared data infrastructure and lead initiatives through to production.
- Operate production systems with an emphasis on reliability, observability, testing, and clear system boundaries.
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