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2 дня назад

Software Engineer I (Data Engineering Infrastructure)

116 000 - 174 000$
Формат работы
hybrid
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

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TL;DR

Software Engineer I (Data Engineering Infrastructure): Designing, building, and maintaining scalable data platforms and pipelines to enable insights and product innovation for self-driving technology with an accent on ETL/ELT processes and cloud infrastructure. Focus on optimizing data processing systems for performance, reliability, and cost-efficiency at massive scale.

Location: Hybrid (Mountain View, California) - Must be in office at least 3 days per week

Salary: $116,000 – $174,000 per year

Company

hirify.global is developing the hirify.global Driver, a self-driving technology system aimed at transforming mobility and logistics to make roads safer and more efficient.

What you will do

  • Design and maintain robust, scalable data pipelines and ETL/ELT processes for data ingestion and transformation.
  • Manage data infrastructure components using AWS cloud services and Terraform for infrastructure-as-code.
  • Collaborate with data scientists, analysts, and autonomy engineering teams to build custom data solutions.
  • Optimize data processing systems for maximum performance, reliability, and cost-efficiency.
  • Implement monitoring, alerting, and logging to ensure the operational stability of data pipelines.
  • Promote and implement best practices in data governance, quality, and security.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 1+ years of recent professional software engineering experience focused on data-related projects.
  • Proficiency in Python, Go, or C++.
  • Experience with big data frameworks (Apache Spark, Flink, Kinesis) and cloud platforms (AWS, GCP, or Azure).
  • Strong SQL knowledge and experience with relational and NoSQL databases.
  • Experience using orchestrators like Apache Airflow and transformation tools like DBT.

Nice to have

  • Experience with Snowflake or data lake architectures.
  • Familiarity with modern data stack tools and practices.
  • Prior experience using various Amazon Web Services (AWS) tools.

Culture & Benefits

  • Hybrid work environment emphasizing in-person collaboration.
  • Competitive compensation package including base salary, annual bonus, and equity.
  • Culture rooted in integrity, ambitious goal-setting, and a "no jerks" policy.
  • Deep commitment to safety and inclusive hiring practices.

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