
Staff Data Engineer
You Will:
• Data Pipeline Engineering: Design, build, and optimize large-scale batch and streaming data pipelines that support vehicle data, manufacturing systems, and enterprise analytics use cases.
• Scalable Data Systems: Develop distributed data processing solutions using technologies such as Spark, Kafka, Trino, Airflow, Kubernetes, and AWS data services.
• Data Modeling and Storage: Design efficient data lake and warehouse models using Parquet, Iceberg, and S3-based storage patterns that ensure performance, reliability, and cost efficiency.
• Hands-on Technical Leadership: Serve as a technical leader for the data engineering team, providing deep expertise, unblocking complex issues, and guiding best practices for performance and reliability.
• Cross-functional Collaboration: Work closely with software, analytics, telemetry, manufacturing IT, and infrastructure teams to deliver robust and scalable data solutions.
• Operational Excellence: Implement data quality checks, monitoring, lineage, and automation to increase platform reliability and reduce operational overhead.
• Innovation and Continuous Improvement: Evaluate new frameworks, tools, and architectural approaches that elevate the data platform and support future scalability.
• Technical Roadmaps: Contribute to technical roadmaps and long-term vision for the evolution of Lucid’s data systems and data platform capabilities.
Your Bring:
• B.S. or M.S. in Computer Science, Software Engineering, Data Engineering, or a related field.
• 8+ years of hands-on industry experience in data engineering or backend systems development.
• Strong experience with modern data technologies such as Spark, Kafka, Airflow, Kubernetes, Docker, Trino or Presto, AWS Glue, and S3-based data lake patterns.
• Proven ability to design and implement scalable ETL and ELT data pipelines using batch and real-time frameworks.
• Deep knowledge of data lake and lakehouse architectures using Parquet, Iceberg, and metadata management concepts.
• Strong experience optimizing performance, reliability, and cost for large-scale data storage and compute systems.
• Demonstrated ability to drive technical decisions, influence architectural direction, and mentor other engineers.
• Ability to work across multiple teams and communicate complex technical concepts to diverse audiences.
• Track record of delivering high-impact data engineering solutions in a collaborative and fast-paced environment.
Base Pay Range (Annual)
$153,100 - $224,510 USD
Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
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