Data Engineer

SpaceX

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Bastrop, TX
Posted: 64 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $166k

$116k most similar roles pay here $206k

This listing doesn't post a salary. Most similar roles pay $135,000–$197,500.

Based on 240 similar postings.

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About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 680 open roles on FindRole.

Listed pay typically runs $130,000–$165,000 across 442 roles with salary data.

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At a glance

TL;DR · Data Engineer

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Data Engineer (Starlink) joins the Starlink Enterprise team to improve data quality within commercial systems and build integrations and AI agents that facilitate better decision-making and faster execution. The role involves identifying and remediating messy records, building Model Context Protocol servers to connect AI assistants like Grok to internal tools, and developing automations for go-to-market workflows. You will partner with sales, channel, and reseller operations to replace manual processes with durable systems. Required skills include a STEM degree and professional experience in Python or SQL. Preferred qualifications include expertise in CRM data quality, building LLM-powered applications, designing APIs, and using tools like Clay, HubSpot, or Apollo. The work focuses on the technical challenge of ensuring reliable data flow across heterogeneous systems to accelerate lead-to-revenue cycles within a complex satellite broadband infrastructure.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

Python SQL AI Agents LLM Model Context Protocol (MCP) CRM APIs Webhooks Data Engineering Automation Clay HubSpot Apollo Grok Data Quality Monitoring

What you'll do

Improve data hygiene by identifying and remediating bad, missing, or duplicate records across go-to-market systems.
Enhance the quality of inputs for AI agents to ensure accurate and actionable analytics and reporting.
Build integrations between internal tools and external systems to automate data flow and reduce manual entry.
Develop Model Context Protocol (MCP) servers to connect AI assistants to internal and external data sources.
Design, ship, and iterate on AI agents that power Starlink Enterprise go-to-market workflows.
Create automations to accelerate lead-to-revenue cycles using complex datasets and system architectures.
Implement monitoring and feedback loops to track data quality and agent performance metrics.
Develop reusable tools and documentation to maintain data standards and extend AI capabilities over time.

What we're looking for

Bachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline.
At least 1 year of professional experience in data engineering or software engineering.
At least 1 year of development experience in Python or another modern programming language like SQL.
Experience improving CRM data quality through deduplication, enrichment, and validation rules.
Experience building AI agents, LLM-powered applications, or tool-using assistants integrated with business systems.
Experience designing APIs, webhooks, or integration layers to connect heterogeneous systems.
Familiarity with Model Context Protocol (MCP) or similar patterns for exposing data to AI systems.
Must be a U.S. citizen, national, lawful permanent resident, or eligible for required export control authorizations.

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