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1 день назад

Senior Software Engineer - Data Enablement

185 200 - 326 800$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Software Engineer - Data Enablement (Java/Kotlin, AWS, Kafka, Spark): Building shared backend platforms and frameworks for data acquisition, processing, access, and analytics across Block with an accent on distributed systems, event-driven services, and streaming data processing. Focus on leading projects from architecture through production, balancing reliability, latency, scalability, cost, and maintainability, and improving observability and data quality.

Location: Remote Bay Area, CA, US

Salary: $185,200–$326,800 USD annually, depending on location zone.

Company

hirify.global builds technology and financial products that increase access to the global economy, including Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.

What you will do

  • Design and build shared backend services, platforms, and frameworks for data acquisition, processing, and access.
  • Lead projects from problem definition and architecture through implementation, rollout, and production operation.
  • Develop reliable backend services, event-driven systems, and batch and streaming data processing capabilities.
  • Partner with software engineers, Data Foundations engineers, and data scientists to deliver reusable platform capabilities.
  • Balance reliability, latency, scalability, cost, and maintainability in architectural decisions.
  • Improve observability, data quality, operational reliability, technical standards, and engineer capability through mentoring.

Requirements

  • 8+ years of professional software engineering experience or equivalent.
  • Deep experience designing, building, and operating distributed backend systems in production.
  • Experience leading technical projects, making architectural decisions, and turning ambiguous problems into deliverable work.
  • Proficiency in a backend language such as Java or Kotlin, with strong software design and engineering fundamentals.
  • Experience building on cloud infrastructure, ideally AWS.
  • Ability to learn unfamiliar systems, communicate technical trade-offs, and collaborate across software engineering, data engineering, and data science.

Nice to have

  • Data engineering experience with data pipelines, large-scale processing, lakehouse, or warehouse systems.
  • Hands-on experience with Kafka and Spark Structured Streaming, especially low-latency streaming systems.
  • Experience with technologies including Iceberg, Databricks, Snowflake, dbt, Prefect, hirify.global-forge, DataHub, and CloudEvents.

Culture & Benefits

  • Remote work with medical insurance, flexible time off, retirement savings plans, and modern family planning benefits.
  • Inclusive workplace with equal-opportunity employment and reasonable accommodations throughout the recruitment process.
  • U.S. compensation follows a market-based location zone approach and may vary by skills, experience, qualifications, work location, and market conditions.
  • Up to 9 active applications may be submitted within a 60-day period; reapplication to the same role is allowed after 90 days following review.
  • Automated AI tools may be used to evaluate applications in accordance with local regulations and privacy laws.

Hiring process

  • Applications are accepted without a specific deadline; U.S. roles typically remain open for approximately 55 days.
  • Application limits and reapplication timing apply as specified in the application guidelines.

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