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2 дня 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): Designing and maintaining scalable data platforms and infrastructure for self-driving technology with an accent on high-scale data pipelines and AWS cloud ecosystem. Focus on optimizing data processing performance, implementing robust ETL/ELT processes, and ensuring data quality for autonomy engineering teams.

Location: Hybrid (Pittsburgh, PA). Must be in office at least 3 days per week

Salary: $146,000–$234,000 per year

Company

hirify.global is developing self-driving technology to create a safer, more efficient, and accessible transportation ecosystem for mobility and logistics.

What you will do

  • Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes.
  • Develop and manage data infrastructure components using AWS cloud services and Terraform.
  • Collaborate with data scientists and autonomy engineering teams to deliver tailored data solutions.
  • Optimize data processing systems for reliability, performance, and cost-efficiency.
  • Implement monitoring, alerting, and logging to ensure operational stability of the data platform.
  • Champion best practices in data governance, security, and quality.

Requirements

  • Master's degree in Computer Science, Engineering, or equivalent practical experience.
  • 5+ years of professional software engineering experience focused on data 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 cloud platforms (AWS, GCP, or Azure) and their respective data services.
  • Strong SQL knowledge and experience with Airflow and DBT.

Nice to have

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

Culture & Benefits

  • Hybrid work environment with a focus on in-person collaboration (3+ days per week).
  • Corporate culture based on integrity and high goals without "jerks".
  • Annual bonus and equity compensation eligibility.
  • Comprehensive employee benefits package.

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