2 часа назад
Software Engineer, Data Foundation – USDS (AI)
129 960 - 246 240$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Data Foundation – USDS (AI) (Apache Spark/Kafka/ClickHouse/Doris): Building scalable, reliable, and cost-efficient data infrastructure with an accent on distributed systems, data integrity, and AI-driven platform automation. Focus on optimizing petabyte-scale data engines, developing intelligent job diagnosis and self-healing pipelines, and improving disaster recovery and developer productivity.
Location: Seattle, United States; fully in-person schedule up to 5 days a week
Salary: $129,960–$246,240 annually
Company
operates a U.S. data privacy and cybersecurity program focused on protecting national security and U.S. user data.
What you will do
- Optimize Apache Spark performance and resource utilization for large-scale data processing.
- Improve ClickHouse and Doris OLAP systems through query tuning and storage-compute optimization.
- Contribute to AI/ML-powered job diagnosis, failure analysis, monitoring, and self-healing data pipelines.
- Support disaster recovery and data integrity mechanisms for scalable data infrastructure.
- Develop maintainable code, participate in code reviews, and write technical documentation with senior engineers.
Requirements
- BS/MS in Computer Science, Engineering, or a related technical field.
- At least 1 year of hands-on experience building or maintaining distributed systems.
- Strong proficiency in Java, Scala, C++, or Python.
- Availability for fully in-person work in Seattle, up to 5 days per week.
Nice to have
- Practical experience with Apache Spark, ClickHouse, Doris, or similar big data technologies.
Culture & Benefits
- Medical, dental, and vision insurance from day one.
- 401(k) savings plan with company match, paid parental leave, disability coverage, and life insurance.
- 10 paid holidays, 10 paid sick days, and paid personal time.
- Inclusive workplace focused on curiosity, humility, resilience, learning, and continuous innovation.
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