Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$131к-192к/год
$86к$110кмедиана$140к
По похожим ролям (50) ~ $110к/год
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Хорошая вакансия
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В Company hidden хорошо описана роль в платформе данных, зарплата выше рыночного уровня, а технологии востребованы. При этом обязательная привязка к нескольким городам и широкий набор ожиданий могут подойти не всем.
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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