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10 часов назад

Senior Software Engineer (Data Engineering)

146 000 - 234 000$
Формат работы
hybrid
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 Engineering): Building and optimizing the core data lake and warehouse infrastructure for self-driving technology with an accent on scalable data pipelines and ETL/ELT processes. Focus on implementing infrastructure-as-code with Terraform and optimizing high-scale data processing systems for performance and reliability.

Location: Hybrid (at least 3 days per week in office). Must be based in or authorized to work in the USA at one of the following locations: Bozeman, Coppell, Livonia, Louisville, Mountain View, Pittsburgh, San Francisco, or Seattle.

Salary: $146,000 – $234,000 per year

Company

hirify.global is developing self-driving technology to create a safer and more efficient transportation ecosystem.

What you will do

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

Requirements

  • 5+ years of professional software engineering experience with a focus on data-related projects.
  • Proficiency in Python, Go, or C++.
  • Experience with big data frameworks such as Presto/Trino, EMR, Apache Spark, Flink, or Kinesis.
  • Hands-on experience with AWS data services (S3, Redshift, Glue).
  • Strong SQL knowledge and experience with relational and NoSQL databases.
  • Experience with Apache Airflow and data transformation tools like DBT.

Nice to have

  • Experience with AI toolings, LLM, and agentic frameworks.
  • Experience with Snowflake or data lake architectures.
  • Familiarity with modern data stack tools and practices.

Culture & Benefits

  • Hybrid work environment requiring office attendance at least 3 days per week.
  • Compensation includes base salary, annual bonus, and equity.
  • Culture of integrity and high goals, emphasizing collaboration and a "no jerks" policy.
  • Deep commitment to safety and inclusion in the workplace.

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