Senior Backend Engineer, Data & Robotics (Digital Twins)

Teli Labs; Cambridge (MA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

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

Job summary

Teli Labs in Cambridge is seeking a backend/data engineer to build data foundations for autonomous lab scheduling systems and digital twin models. You will create data pipelines and governed lakehouse architectures to convert raw experimental output into trustworthy data for scientists.

Requirements include 4-8 years in production Python services and data engineering with workflow orchestrators, strong SQL, and end-to-end service ownership, with AWS EKS and cloud-native delivery expertise.

Qualifications

• 4-8 years of experience in production Python services and data engineering using workflow orchestrators.
• Proficiency in SQL
• Experience with AWS EKS and cloud-native delivery
• End-to-end service ownership

Responsibilities

• 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.

Skills

Python

SQL

Data Engineering

Back-end Engineering

Data Modeling

System Design

CI/CD

Tools

FastAPI

Flyte

Temporal

PostgreSQL

AWS EKS

Terraform

GitHub Actions

Docker

S3 Lakehouse

Job description

Teli Labs in Cambridge is seeking a backend/data engineer to build data foundations for autonomous lab scheduling systems and digital twin models. You will create data pipelines and governed lakehouse architectures to convert raw experimental output into trustworthy data for scientists.

Requirements include 4-8 years in production Python services and data engineering with workflow orchestrators, strong SQL, and end-to-end service ownership, with AWS EKS and cloud-native delivery expertise.