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10 дней назад

Software Engineer, Data Platform

130 600 - 192 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer, Data Platform (Big Data/AI): Building and scaling analytical data platforms, ingestion frameworks, and data infrastructure with an accent on reliability, scalability, cost efficiency, and real-time insights. Focus on designing high-scale systems, improving data platform stability, and developing streaming, batch, lakehouse, and governance capabilities with Kafka, Flink, Spark, and related technologies.

Location: Must be located in San Francisco, Sunnyvale, Seattle, or New York, United States, or be willing to relocate to the Bay Area, Seattle, or New York.

Salary: $130,600–$192,000 USD annual base salary, plus potential equity grants.

Company

hirify.global operates a data-driven business supported by analytical infrastructure for business and product decisions.

What you will do

  • Shape the vision and strategy for data platform frameworks supporting a rapidly growing business.
  • Scale analytical platforms for increasing data volumes and use cases.
  • Build and operate high-scale systems with a focus on reliability, scalability, and cost efficiency.
  • Collaborate with stakeholders building solutions on top of the data platform.
  • Support a positive engineering culture and help develop other engineers.

Requirements

  • B.S., M.S., or PhD. in Computer Science or an equivalent field.
  • At least 2 years of industry experience in software engineering.
  • Proficiency with AI coding tools such as Claude Code, Codex, or Cursor across the software development lifecycle.
  • Experience with big data domains including streaming, batch processing, data lake OLAP, and real-time analytics at scale.
  • Experience with technologies such as Kafka, Flink, Spark, Cassandra, ClickHouse, and Iceberg.
  • Experience building and improving big data infrastructure, governance, efficiency, scalability, and stability.

Nice to have

  • Experience with open-source data technologies such as DataHub, Spark, Airflow, Kafka, or Flink.

Culture & Benefits

  • Comprehensive benefits package for regular employees.
  • 401(k) plan with employer matching, paid parental leave, wellness benefits, and commuter benefits matching.
  • Flexible paid time off, paid sick leave, and 11 paid holidays for salaried roles.
  • Medical, dental, and vision benefits, disability and basic life insurance, and mental health support.
  • Family-forming assistance and other employee well-being benefits.

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