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11 часов назад

Senior Data Engineer - Backend (Python, Typescript, Big Data, AWS, Kubernetes)

Формат работы
remote (только Mexico)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
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 Data Engineer – Backend (Python / Typescript / Big Data / AWS / Kubernetes): Design, build, and scale large-scale data processing pipelines and REST APIs handling high-volume datasets across distributed systems with an accent on high throughput, low-latency performance, and cloud-native architectures. Focus on optimizing backend services using Spark, AWS-native tools, Kafka, and Kubernetes for reliability and scalability under massive loads.

Location: Mexico, fully remote. Must work within Eastern Standard Time (EST) business hours; be prepared to adjust schedule if outside EST time zone.

Company

Market-leading SaaS provider of Sales Performance Management (SPM) solutions trusted by global enterprises like T-Mobile, ServiceNow, and Moody's.

What you will do

  • Design, build, and scale REST APIs and large-scale data processing pipelines for high-volume datasets in distributed systems.
  • Architect and optimize backend services for high throughput and low-latency performance.
  • Develop data-intensive, event-driven applications using Python, Typescript, Spark, and AWS services.
  • Process and transform large datasets with Spark, EMR, Glue, Kafka, or similar frameworks.
  • Improve performance, reliability, and scalability of microservices and cloud infrastructure.
  • Collaborate with engineers, architects, DevOps, and QA; mentor developers and conduct code reviews.
  • Automate deployments and CI/CD with Terraform, Serverless Framework, and Kubernetes.

Requirements

  • 7+ years backend or full-stack engineering with strong backend focus.
  • 7+ years hands-on Python for APIs, automation, and large-scale data pipelines.
  • 3+ years Typescript / Node.js.
  • Advanced AWS experience (EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions).
  • Strong Kubernetes for production workloads.
  • Experience with large datasets, distributed computing, Spark, Dask, EMR, Glue, Kafka.
  • Strong business-level English for cross-functional collaboration.
  • Solid system design, distributed systems, scalability, and cloud architecture knowledge.

Culture & Benefits

  • Market-leading compensation package.
  • Wellness programs, comprehensive medical, dental, vision, and life insurance.
  • Remote work flexibility with results-driven culture and global connected hubs (Romania, UK, US, Canada).
  • Annual time off per legislative requirements.
  • Continuous development opportunities in innovative, multicultural environment.
  • Work with latest tools and technologies.

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