Onsite AI Data Engineer - Field Deploy & Pipelines

Scale AI; Colorado Springs (CO); On-site; USD 170,000 - 260,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI seeks an AI Data Engineer to join the Federal Engineering team in a role with substantial onsite work and security clearances. You will build and deploy data pipelines, integrate customer data with Scale's platform, and work closely with customers to deliver tailored solutions.

The role emphasizes hybrid, customer-facing responsibilities, cloud-native tech (Docker/Kubernetes), and strong Python/data engineering skills.

Qualifications

• Knowledge of ETL processes and data pipelines across diverse sources.
• Experience with data modeling, warehousing, and governance principles.
• Strong Python development background.
• Cloud-native development with containerization (Docker) and orchestration (Kubernetes).
• Linux shell, networking basics, and problem-solving skills.

Responsibilities

• Define and execute the vision for data pipelines and agents.
• Implement end-to-end data integrations between customer data and Scale platform.
• Deploy and maintain Scale software at customer sites.
• Collaborate with cross-functional teams to deliver customer-focused features.
• Engage with customers to understand requirements and deliver innovative solutions.

Skills

ETL

Python

Cloud platforms

Docker

Kubernetes

Linux

Networking

Problem solving

Tools

AWS

Azure

GCP

Job description

Scale AI seeks an AI Data Engineer to join the Federal Engineering team in a role with substantial onsite work and security clearances. You will build and deploy data pipelines, integrate customer data with Scale's platform, and work closely with customers to deliver tailored solutions.

The role emphasizes hybrid, customer-facing responsibilities, cloud-native tech (Docker/Kubernetes), and strong Python/data engineering skills.