AI-Native Fullstack Engineer: Data Platforms & AI

United States Digital Space LLC; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work

Pension plans

Health offers

Employee discounts

Job summary

United States Digital Space LLC is seeking a product-minded fullstack engineer with a strong data focus to transform messy ERP data into validated datasets, APIs, and dashboards. You will own the data pipeline from exploration to production, leveraging AI-native workflows to ship high-quality solutions.

You should have a solid backend and frontend background (Python/TypeScript), strong data modeling skills, and hands-on experience with AWS-like environments.

Qualifications

• Strong fullstack/backend experience, ideally with Python and/or TypeScript.
• Experience turning ambiguous problems into working software and APIs.
• Familiar with AI-native workflows, validation, and production-grade quality.
• Proficient in data modeling, KPIs, and analytics-oriented datasets.

Responsibilities

• Build backend services, APIs, internal tools, and automation around data.
• Ingest, transform, validate, and document ERP/API data and map KPIs to sources.
• Create validated, analysis-ready datasets and clear naming for reporting and analytics.
• Deploy and operate reliable cloud solutions (AWS) with monitoring and cost control.

Skills

Fullstack/backend engineering

Python/TypeScript

AI-native development

Data/Analytics experience

Tools

Claude Code

Codex

GitHub Copilot

Job description

United States Digital Space LLC is seeking a product-minded fullstack engineer with a strong data focus to transform messy ERP data into validated datasets, APIs, and dashboards. You will own the data pipeline from exploration to production, leveraging AI-native workflows to ship high-quality solutions.

You should have a solid backend and frontend background (Python/TypeScript), strong data modeling skills, and hands-on experience with AWS-like environments.