[Remote] Senior Data Engineer
Note: The job is a remote job and is open to candidates in USA. Modelyst is a three-person engineering firm building production data and machine learning infrastructure for manufacturing and research environments. They are seeking a Senior Data Engineer to take an AWS data platform from architecture to a working MVP and own its operation thereafter.
Responsibilities
- Implement the designed data pipelines and backend services in Python on AWS
- Design and manage AWS infrastructure using Terraform and Terragrunt
- Deploy the platform end-to-end into the customer's AWS environment and bring it live for an MVP launch, validating against real operational data
- 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
Skills
- 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
- Infrastructure-as-code with Terraform (Terragrunt is our standard). You've stood up and managed cloud infrastructure end-to-end
- You've operated systems in production — incident response, performance, capacity, cost — and been the person accountable when something breaks
- Time-series or high-throughput data environments
- Industrial, manufacturing, robotics, or IoT systems
- ML infrastructure or MLOps tooling
- Large-scale data processing frameworks (e.g., Spark, Databricks)
- Japanese language ability is helpful but not required
Benefits
- Medical, dental, and vision insurance.
- 401(k).
Company Overview