Senior Data Engineer, Relativity Space

• 5+ years of experience in data engineering, with demonstrated progression in technical complexity and responsibility
• Proven experience architecting and implementing large-scale data solutions in production environments
• Expert-level experience with cloud data warehouses, including performance tuning and optimization
• Advanced proficiency with dbt for complex data transformation, modeling, and testing
• Strong experience with workflow orchestration tools (Argo, Airflow, Prefect, or Dagster) including pipeline design and optimization
• Expert programming skills in Python and SQL, with ability to write efficient, maintainable code

Desirable

• As a Senior Data Engineer, you will be a technical leader responsible for architecting, developing, and maintaining the most critical components of our analytics data platform.
• You will work independently on complex data engineering challenges, mentor junior engineers, and drive technical decisions that shape our data infrastructure strategy.
• This role requires deep expertise in modern data stack technologies and the ability to collaborate with senior leadership across the organization to deliver enterprise-scale data solutions
• Design and architect scalable, reliable data infrastructure solutions for enterprise-scale requirements
• Make key technical decisions regarding data platform technologies, patterns, and best practices
• Lead performance optimization initiatives across data pipelines and storage systems
• Evaluate and recommend new technologies and tools for the data stack
• Discover, assess, and integrate complex data sources via database connections, APIs, message queues, and streaming platforms
• Design, build, and maintain enterprise-grade data pipelines using Airbyte and orchestration tools
• Develop sophisticated data models and transformations in Redshift using advanced dbt techniques