Sr Data Engineer
Relativity Space
Job Description
About the Role
At Relativity Space, we're entering an exciting new chapter under the leadership of Eric Schmidt, focusing on pioneering advancements in aerospace technology. Guided by a vision to redefine space exploration, our team is dedicated to pushing the boundaries of what's possible on Earth and beyond. As we pursue ambitious goals like building humanity's industrial base on Mars and becoming America's leader in additive manufacturing, our investment in world-class data systems has never been more critical. The Data Warehouse team plays a foundational role in this mission by building and maintaining the core data infrastructure that powers the entire organization. This includes developing and managing end-to-end data pipelines, robust storage systems, and enterprise analytics platforms, along with tools for data modeling, visualization, and business intelligence. Our team collaborates with nearly every department across the company including engineering, finance, and operations, to ensure seamless data flow and informed decision-making. As we embark on groundbreaking initiatives in 3D printing and AI-driven manufacturing under Eric Schmidt's leadership, this team sits at the heart of it all turning raw data into actionable insights that drive innovation forward. If you're excited about building advanced data solutions for diverse stakeholders and bridging the gap between complex datasets and meaningful outcomes, this is the team for you.
Key Responsibilities
- 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
Requirements
- 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
Nice to Have
- Experience with streaming data technologies (Kafka, Kinesis, or similar)
- Proficiency with Kubernetes and infrastructure as code (Terraform, CloudFormation)
- Experience with multiple ELT/ETL tools and ability to evaluate trade-offs between different solutions
- Multi-cloud experience (AWS, GCP, Azure) with deep knowledge of at least one platform
- Strong background in data governance, security practices, and compliance frameworks
Job Details
Job Skills
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About Relativity Space
Website
relativityspace.com
Company Size
1001-5000 employees
Location
Long Beach, CA
Industry
Aerospace Product and Parts Manufacturing
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