Software Engineer I (Data Engineering Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
is developing the 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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