Backend & Data Platform Engineer at Loora

Department: R&D

Language

Setup: Hybrid
Location: Tel Aviv, Tel-Aviv District
Level: senior
Posted: Aug 15, 2026

Description

Loora is hiring a Backend Engineer with deep data engineering expertise to build and evolve production backend services, APIs, and data infrastructure supporting its AI English tutor, analytics, experimentation, and AI development. The role owns the full data lifecycle, including event ingestion, real-time and batch processing, data modeling, quality, observability, schema evolution, and reliable data access, while collaborating with backend, frontend, AI, DevOps, analytics, and product teams.

Required Skills

Python
Java
SQL
Apache Flink
Kafka
dbt
AWS
Kubernetes
Data modeling
Observability

Additional Information

Required Previous Experiences: At least 6 years of production software engineering experience, primarily in backend systems, including meaningful ownership of data-intensive platforms or infrastructure.
Deep experience designing and operating ETL/ELT pipelines and batch or streaming data systems.
Hands-on production experience with Apache Flink for distributed stream processing.
Hands-on production experience building reactive data-processing pipelines with RxJava/Project Reactor, including backpressure, scheduling, error handling, testing, and operational debugging.
Experience with event-driven architectures and messaging systems such as Kafka or AWS SQS.
Hands-on experience with dbt for data modeling, testing, documentation, lineage, and semantic-layer development.
Hands-on experience with at least one analytical data platform such as Snowflake, Databricks, ClickHouse, Athena, Trino, or Dremio.
Hands-on experience with at least one dataframe library: Pandas, Polars, or Daft.
Experience with workflow orchestration tools such as Airflow or Dagster.
Preferred Qualifications: Experience with data integration and ingestion platforms such as Airbyte, Rivery, or AWS AppFlow.
Experience with conversational AI, speech/audio systems, or real-time communication.
Production experience with Go, Rust, Scala, or Kotlin.
Contributions to open-source infrastructure projects.