Data Engineer — AI-Driven Go-To-Market Systems

United States Digital Space LLC; Hawthorne (CA); On-site; USD 125,000 - 175,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Engineer for the Starlink Enterprise team in Hawthorne, CA. You’ll improve data quality, build integrations, and design AI-powered workflows to accelerate revenue generation.

The role requires 1+ years in data or software engineering, with Python/SQL experience and CRM tools familiarity. On-site work in Hawthorne, with strong collaboration across sales and enablement.

Qualifications

• Bachelor’s degree in computer science, data science, physics, mathematics, or another STEM discipline.
• 1+ years of professional data engineering or software engineering experience (internship experience applicable).
• 1+ years of development experience in Python or another modern programming language (SQL, etc.).

Responsibilities

• Improve data hygiene and quality across go-to-market systems.
• Raise the quality of inputs to AI agents and analytics for accurate outputs.
• Build integrations across internal tools and external systems to streamline data flow.
• Develop Model Context Protocol (MCP) servers and interfaces to connect AI assistants to systems.
• Design, ship, and iterate AI agents powering Starlink Enterprise workflows.
• Contribute to AI-powered applications and automations to accelerate revenue cycles.
• Instrument data quality and agent performance with monitoring and feedback loops.
• Partner with sales, sales ops, channel/reseller ops, and enablement to automate data-quality problems.
• Create reusable tools, checks, and documentation for data quality and agents.

Skills

Data engineering

Python

SQL

Data pipelines

AI agents

Education

Bachelor’s degree in computer science, data science, physics, mathematics or STEM

Tools

CRM tools (HubSpot, Apollo, Clay)

Job description

United States Digital Space LLC is seeking a Data Engineer for the Starlink Enterprise team in Hawthorne, CA. You’ll improve data quality, build integrations, and design AI-powered workflows to accelerate revenue generation.

The role requires 1+ years in data or software engineering, with Python/SQL experience and CRM tools familiarity. On-site work in Hawthorne, with strong collaboration across sales and enablement.