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18 часов назад

Senior Backend Engineer (Data Platform)

Формат работы
remote (только Israel)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Backend Engineer (Data Platform) (Distributed ETL and Data Pipelines): Building and scaling backend microservices that orchestrate high-throughput batch and real-time data transformations with an accent on distributed architecture, performance, and observability. Focus on optimizing ETL execution, designing data-intensive systems, and managing scalable cloud infrastructure.

Location: Ramat Gan, Israel; the role is also described as fully remote.

Company

hirify.global provides a location analytics platform that helps organizations understand physical locations, markets, and consumer behavior while maintaining privacy-focused data practices.

What you will do

  • Own backend microservices from architecture and API design through deployment, observability, and performance tuning.
  • Architect and optimize distributed ETL infrastructure for high throughput and sub-second reliability.
  • Build, orchestrate, and scale batch and real-time data pipelines for analytics, exports, and UI integrations.
  • Collaborate with Product, Data Science, Analytics, and R&D teams on complex data movement and backend integration requirements.
  • Improve engineering quality through design reviews, code reviews, architecture discussions, and technical mentorship.

Requirements

  • 5+ years of backend engineering experience with distributed microservices.
  • Experience designing data-intensive systems and high-throughput batch or real-time pipelines.
  • Strong knowledge of relational and analytical databases, including Postgres, Databricks, and Snowflake, with experience optimizing queries and storage at scale.
  • Strong foundations in system design, data structures, API design, automated testing, and production observability.
  • Excellent proficiency with AWS or GCP and Terraform.
  • BSc in Computer Science or equivalent practical experience, plus demonstrated use of generative AI tools for productivity.

Nice to have

  • Strong Python experience building modular microservice APIs, asynchronous tasks, and testable data-processing packages.
  • Hands-on PySpark experience with multi-terabyte batch and streaming workloads, including execution-plan, memory, data-skew, and shuffle optimization.

Culture & Benefits

  • Fully remote work.
  • Competitive salary and excellent benefits.
  • Opportunity to work in a rapidly growing location analytics company and take a central role in a new market.
  • Access to experienced engineering and cross-functional talent.

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