Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$144к-212к/год
$160к$190кмедиана$230к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Хорошая вакансия
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Понятная senior-позиция в data engineering в известной технологической компании, с хорошим стеком и сильным пакетом льгот. Зарплата ниже медианы рынка, а работа требует присутствия в офисе рядом с конкретными хабами в США.
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Ниже рынкаАктуальный стекСильный пакет льготПонятные задачи
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, Data Engineering (Python/Java, Spark/Kafka): Building and scaling high-volume data models, pipelines, data lake and warehouse architectures for reporting, analytics, marketing optimization, and financial reporting with an accent on data quality, ETL reliability, and distributed computing. Focus on designing scalable data infrastructure, implementing monitoring and quality checks, and managing trustworthy data products across large-scale systems.
Location: Hybrid; must be located near an engineering hub in San Francisco, Sunnyvale, or Seattle, United States
Salary: $143,800–$211,500 USD base salary per year, plus potential equity grants.
Company
hirify.global operates a technology platform supported by data infrastructure for reporting, analytics, marketing optimization, and financial reporting.
What you will do
Partner with business stakeholders, engineering, product teams, and third parties to define and collect data requirements.
Design, develop, and implement high-volume data models and pipelines for data lakes and data warehouses.
Build data quality checks, QA processes, monitoring routines, and reliable ETL workflows.
Improve the reliability and scalability of data infrastructure, automation, and tooling.
Manage data products that provide high-quality, trustworthy data.
Support onboarding and development of other engineers.
Requirements
5+ years of professional experience, including 3+ years in data engineering, business intelligence, or a similar role.
Proficiency in Python or Java.
3+ years of experience with ETL orchestration and workflow management tools such as Airflow, Flink, Oozie, or Azkaban, using AWS or GCP.
Strong database fundamentals, SQL, and distributed computing knowledge.
3+ years of experience with distributed data ecosystems such as Spark, Hive, Druid, or Presto, and streaming technologies such as Kafka or Flink.
Experience with Snowflake, Redshift, PostgreSQL, or other database platforms, plus strong communication skills.
Nice to have
Knowledge of reporting tools such as Tableau, Superset, or Looker.
Experience analyzing and interpreting market and consumer information.
Culture & Benefits
Hybrid work connected to an engineering hub.
401(k) plan with employer matching.
Medical, dental, vision, disability, and basic life insurance.
16 weeks of paid parental leave, family-forming assistance, wellness benefits, and mental health support.
Flexible paid time off, paid sick leave, 11 paid holidays, and commuter benefits matching for eligible employees.
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