• Have extensive experience shipping modern, data-centric applications (our data systems use Argo-Workflows, Dagster, Superset, Aurora, RDS, S3, and back-ends are Go and Python, with gRPC/Avro and Kafka as our messaging platform)
• Have experience with IaC and GitOps tooling (We use Terraform extensively and have centralized on Kubernetes/Argo/Helm)
• Extremely well versed with data querying techniques across NoSQL and SQL platforms
• Have a Bachelor's degree in Computer Science and/or equivalent experience
• Solid understanding in building data architecture and pipelines
• Are self-motivated and eager to get hands-on and tackle challenges independently while working collaboratively toward identified objectives
• Work with a platform mentality -- driven to find the right architecture and plan up front and solve problems with the long term in mind
• Take responsibility and ownership finding solutions no matter what
• Deploy your broad experience and big picture view to fix undreamed of problems with innovative solutions
• Feel passionate about making things move in the real world with software
• Are excited to work in a fast-paced environment with high-stakes and quick iteration cycles
• Are a highly effective communicator when speaking or writing, especially when presenting technical information
• Can work from our Los Angeles Factory (Torrance)

Desirable

• You will be challenged to think creatively and solve complex data integration problems
• You will work cross functionally with production experts, software engineers, and machining specialists to develop novel solutions working toward fully automated factories
• Scope, architect, implement, and deploy critical applications that will drive revenue and make a positive impact in the world
• Build and manage a robust data warehouse and write software to coordinate and deploy data pipelines
• Conceptualize and own the data architecture for multiple large-scale projects
• Create and contribute to data frameworks that span on-premises and cloud infrastructure improve the efficacy of logging machine data, while working with data infrastructure to triage issues and resolve
• Solve our most challenging machine data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Collaborate with machine engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
• Get to build alongside an incredible team of software engineers, mechanical engineers, operators, and the best machinists/CAM programmers in the world