Lucid Careers

Lead Data Engineer, Infrastructure

Electronics & Software

Newark, CA      Full-Time

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Leading the future of luxury mobility

Lucid’s mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry.

We are looking for a Senior Data Engineer, Infrastructure who is looking for a challenge, enjoys thinking big and looking to make their mark on an extremely fast growing company. If building large and building fast, working with a young and very talented team of engineers and collaborating with the brightest mind in the Automotive industry is what you like, Lucid is the best to experience it. 

The Role

  • Lead Data Infrastructure and Security Engineer to design, implement and secure a highly scalable system to ingest and process Petabytes of data per day. An electric vehicle can produce TB of data per hour and building a platform to enable hundreds of vehicles to communicate with data centers is a challenging task. The role is about setting the foundation and architecture to use streaming technologies on the cloud and on prem to manage these data using technologies such as AWS, Kafka, Spark, Presto, Hive, Docker, Kubernetes. This includes designing and implementing of security, permissions, authentication and relevant InfoSec activities.  

Qualifications

  • Bachelor or Masters in Software Engineering and Computer Science 
  • Proven experience working with large scale data platforms 
  • Experienced with security and access management  
  • Experienced in design and implement reliable, scalable, and performant distributed systems and data pipelines 
  • DevOps experience implementing large scale data stacks using Git, Jenkins, Docker 
  • Extensive programming experience, especially in Java, Python, and/or C++ 
  • Experience with containerization, including Docker and Kubernetes 
  • Experience with running large-scale distributed computing infrastructure such as Spark, Hive, Presto, Zookeeper,   
  • Experience with managing distributed systems like Elasticsearch, Logstash, Kibana (ELK) 
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