Pioneering Data Engineer, AI Platform (Onsite)

Dover; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Nth AI is building Nexus, an AI-native implementation platform for trusted data, semantic models, and governed business context. You will design, code, test, and ship the Nexus backend, data integrations, and automation workflows that power enterprise AI implementations.

You’ll work directly with enterprise customers to understand requirements, deploy what you build, and turn challenges into reusable product capabilities that scale across deployments.

Qualifications

• Production software engineering ability: shipped and maintained backend software, APIs, or data infrastructure.
• Deep enterprise data engineering experience: Python, SQL, Spark, data modeling, orchestration, reconciliation.
• Fluency in Microsoft data/AI ecosystem: Microsoft Fabric, Azure AI Foundry, lakehouse, pipelines, semantic models, or agent workflows.
• Enterprise customer experience: work with customer teams and stakeholders to translate needs into working software.
• Strong engineering judgment: verify architecture, code, and data logic using AI tools.

Responsibilities

• Design, code, test, and ship Nexus components including backend services, APIs, and integrations.
• Profile source systems, generate transformations, and build validated lakehouse assets.
• Collaborate with AI engineers to connect agents to data tools and ensure reliable execution.
• Deploy enterprise-ready solutions inside customer environments with proper security and governance.
• Translate customer requirements into reusable product capabilities and integrations.

Skills

Python

SQL

Spark/PySpark

Data modeling

Orchestration

Schema evolution

Reconciliation

Enterprise data engineering

Customer interaction

Engineering judgment

Tools

Microsoft Fabric

Azure AI Foundry

APIs

Backend services

Job description

Nth AI is building Nexus, an AI-native implementation platform for trusted data, semantic models, and governed business context. You will design, code, test, and ship the Nexus backend, data integrations, and automation workflows that power enterprise AI implementations.

You’ll work directly with enterprise customers to understand requirements, deploy what you build, and turn challenges into reusable product capabilities that scale across deployments.