Lucid Careers

Senior Data Engineer

Data Engineering

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, who is looking for a challenge, enjoys thinking big and looking to make their mark on an extremely fast growing company. If you have hands-on experience designing and developing streaming and IoT data pipelines this role is for you. Be part of a group who will be building large and building fast, working with a very talented team of engineers and collaborating with the brightest mind in the Automotive industry.

The Role

  • Hands-on design and develop streaming and IoT data pipelines.  
  • Developing streaming pipeline using MQTT, Kafka, Spark Structure Streaming 
  • Orchestrate and monitor pipelines using Prometheus and Kubernetes  
  • Deploy and maintain streaming jobs in CI/CD and relevant tools. 
  • Python scripting for automation and application development  
  • Design and implement Apache Airflow and other dependency enforcement and scheduling tools. 
  • Hands-on data modeling and data warehousing   
  • Deploy solution using  AWS, S3, Redshift and Docker/Kubernetes  
  • Develop storage and retrieval system using  Presto and Parquet/ORC  
  • Scripting with Apache Spark and data frame. 


  • Bachelor or Masters in Software Engineering or Computer Science 
  • 6 - 8+ years of experience in Data Engineering and Business Intelligence. 
  • Proficient in IoT tools such as MQTT, Kafka, Spark 
  • Proficient with AWS, S3, Redshift  
  • Experience with Presto and Parquet/ORC  
  • Proficient with Apache Spark and data frame. 
  • Experienced in containerization, including Docker and Kubernetes 
  • Expert in tools such as Apache Spark, Apache Airflow, Presto 
  • Expert in design and implement reliable, scalable, and performant distributed systems and data pipelines 
  • Extensive programming and software engineering  experience, especially in Java, Python, 
  • Experience with Columnar database such as Redshift, Vertica 
  • Great verbal and written communication skills.    
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