Modelyst
Senior Data Engineer
Sacramento · Senior
No sponsorshipDetected 68 days ago
PythonBackend DevelopmentDatabricksAWSCloud PlatformsTerraformCI/CDMachine LearningSparkData EngineeringMLOpsIncident ResponseRoboticsResearchCollaboration
About the role
- You will work on implementing the system, getting it running in the customer's AWS environment, and proving it out at MVP scope and beyond.
- You'll be the person accountable for the platform from "deployed" through "running reliably in production" through "evolving as the workload grows."
- Initial work is focused on standing up infrastructure, implementing data pipelines and backend services, validating the system end-to-end against real operational data, and bringing it live for an MVP deployment.
Responsibilities
- Implement the designed data pipelines and backend services in Python on AWS
- Design and manage AWS infrastructure using Terraform and Terragrunt
- Build out the CI/CD, observability, and runbooks needed to operate the platform reliably
- Own the platform after launch - incident response, performance, capacity, and cost
- Lead the platform's design evolution from MVP through later production stages, making the data model, scaling, and reliability decisions informed by running it yourself
Requirements
- Senior-level experience shipping production backend or data services in Python.
- You have built systems other people depend on.
- Production AWS architecture experience, including event-driven services such as SQS, SNS, EventBridge, Step Functions, and Lambda.
- Japanese language ability is helpful but not required
- Must be authorized to work in the U.S. without employer sponsorship
Nice to have
- Preferred Experience
- Collaboration with Japan-based teams is common
- Pacific or Mountain time preferred
Visa & Work Authorization
- Must be authorized to work in the U.S. without employer sponsorship
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This listing is sourced directly from Modelyst's careers page and normalized into a canonical job model.