Назад
Company hidden
2 часа назад

Senior Big Data Engineer (Spark)

130 000 - 196 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Big Data Engineer (Spark/Kubernetes): Designing and optimizing scalable data processing pipelines for a data collaboration platform with an accent on high-performance infrastructure and real-time use cases. Focus on automating large-scale Kubernetes environments, ensuring system reliability, and driving the technical roadmap for AI/ML workloads.

Location: San Francisco, CA (Hybrid / options for working from home)

Salary: $130,000 – $196,500

Company

hirify.global is a data collaboration platform specializing in consumer privacy, data ethics, and foundational identity for innovative global companies.

What you will do

  • Design, build, and optimize scalable batch and real-time data processing pipelines using Spark and Airflow.
  • Lead the delivery of secure Big Data infrastructure using Dataproc, Redpanda, and Temporal.
  • Automate large-scale Kubernetes infrastructure using Terraform and other infrastructure-as-code patterns.
  • Define monitoring, alerting, and runbooks using Grafana to ensure operational excellence and high availability.
  • Mentor vendor teams and external partners to extend and support Big Data solutions.
  • Drive the technical roadmap by evaluating emerging technologies and building proofs of concept.

Requirements

  • 7+ years of experience in software or data engineering with a focus on distributed systems.
  • Hands-on expertise with Apache Spark and orchestration frameworks like Airflow or Temporal.
  • Proficiency with Kubernetes and Terraform for provisioning production services.
  • Experience with streaming and messaging technologies such as Redpanda or Kafka.
  • Practical experience running Big Data workloads on cloud platforms (e.g., Dataproc).
  • Must be based in or able to work from San Francisco, CA.

Nice to have

  • 3+ years of software development in Python, Go, Java, or Scala.
  • Experience using AI tools, NLP, and agent creation.
  • Exposure to data platform security, encryption, and compliance standards.
  • Experience mentoring engineers or leading technical initiatives.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) matching plan (1:1 match up to 6% of salary).
  • Flexible paid time off, paid holidays, and paid parental leave.
  • Hybrid work flexibility to support work-life harmony.
  • Collaborative environment with regular in-person and virtual social events.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →