New

Sr Data Engineer

Long Beach, California

At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.

Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and
technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.

About the Team: 

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.

About the Role:

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 

Our Data Stack:
Airbyte, Argo, dbt, Redshift, PowerBI, Grafana. 

About You:

  • 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 haves but not required:  

  • 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 

At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.

Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.

Hiring Range:

$163,000 - $209,000 USD

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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