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Job description
Build back-end and data foundations for autonomous lab scheduling systems and digital twin models. Develop data pipelines and governed lakehouse architectures to turn raw experimental output into trustworthy data for scientists.
Requirements: Requires 4-8 years of experience in production Python services and data engineering using workflow orchestrators. Proficiency in SQL, cloud-native delivery via AWS EKS, and end-to-end service ownership is essential.
Key Skills:
Python
FastAPI
Flyte
Temporal
PostgreSQL
AWS EKS
Terraform
GitHub Actions
Docker
S3 Lakehouse
Data Modeling
Digital Twins
System Design
CI/CD
Back-end Engineering
Data Engineering
Benefits:
Medical insurance
Dental insurance
Vision insurance
Employer-paid life insurance
Employer-paid disability insurance
Flexible time off
Company wide holidays
Paid parental leave
Educational assistance program
Commuter benefits
Bike share memberships
Company subsidized lunch program
Early-stage equity
#J-18808-Ljbffr
Worksite address
cambridge, MA, 02140, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.