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PERMANENT

\nUpdated 09/01/2026\nJob Description\nJob Summary\nSpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of& enabling human life on Mars.\n

DATA ENGINEER

(STARLINK)\nAt SpaceX, we're leveraging our experience building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation, delivering fast, reliable internet to more than 10 million users worldwide. We design, build, test, and operate the full stack — satellites, user terminals, and the software that ties it all together.\nAs a Data Engineer on the Starlink Enterprise team, you will improve the quality of data flowing into our commercial systems and build the integrations and AI agents that turn that cleaner data into better decisions and faster execution — from pipeline generation through closed revenue and ongoing enablement. You will partner with Enterprise sales, channel and reseller operations, sales ops, and enablement to fix messy inputs, reduce manual cleanup, and ship automations that make go-to-market workflows more reliable.\n

RESPONSIBILITIES

\nImprove data hygiene and quality across go-to-market systems — identify bad, missing, duplicate, and stale records; implement validation, enrichment, and remediation so higher-quality data enters our system of record, opportunity, partner/reseller, and enablement workflows\nRaise the quality of inputs to AI agents and analytics so outputs (recommendations, deal status, enablement answers, reporting) are more accurate, trustworthy, and actionable\nBuild integrations across internal tools and external systems so deal, customer, and partner context flows cleanly between sales, channel ops, and operational platforms — reducing manual re-entry and preventing quality issues at the source\nDevelop Model Context Protocol (MCP) servers and related interfaces that connect AI assistants (including Grok) to internal and external go-to-market systems, with an emphasis on reliable, well-scoped access to the right data and tools\nDesign, ship, and iterate AI agents that power Starlink Enterprise go-to-market workflows\nContribute to AI-powered applications and automations that accelerate lead-to-revenue cycles, working within the additional datasets and systems architecture owned by the team\nInstrument data quality and agent performance with monitoring and feedback loops — catching regressions early and tying improvements to outcomes (e.g., cleaner pipeline, faster cycle times, higher adoption and trust)\nPartner closely with sales, sales ops, channel/reseller ops, and enablement to turn recurring data-quality problems and manual processes into durable automations and standards\nCreate reusable tools, checks, and documentation that help the team maintain data quality and extend agents over time\n

BASIC QUALIFICATIONS

\nBachelor's degree in computer science, data science, physics, mathematics, or another STEM discipline\n1+ years of professional data engineering or software engineering experience (internship experience applicable)\n1+ years of development experience in Python or another modern programming language (SQL, etc.)\n

PREFERRED SKILLS AND EXPERIENCE

\nExperience improving CRM data quality (deduping, enrichment, validation rules, field completeness, source-of-truth discipline)\nExperience building AI agents, LLM-powered applications, or tool-using assistants that integrate with real business systems (APIs, CRMs, ticketing, data warehouses)\nExperience designing APIs, webhooks, or integration layers that connect heterogeneous systems and keep data consistent across them\nFamiliarity with Model Context Protocol (MCP) or similar patterns for exposing tools and data sources to AI systems\nExperience with CRM and go-to-market tooling; familiarity with Clay, HubSpot, Apollo, or similar sales engagement / enrichment platforms is a plus\nProfessional experience supporting sales, sales ops, channel/reseller, or revenue operations workflows with data and automation\nExperience with SQL and modern data tooling; exposure to Grok, internal AI platforms, or comparable LLM developer tooling is a plus\nExperience with agent evaluation, guardrails, permissions, and human-in-the-loop patterns for production AI systems\nAbility to thrive in a fast-changing environment, take initiative on ambiguous problems, and develop new expertise as the product and stack evolve\n

ADDITIONAL REQUIREMENTS

\nMust be available to work extended hours and weekends as needed\nWillingness to travel to customer sites, other SpaceX locations, and events as needed\n

COMPENSATION AND BENEFITS

Pay Range:

\nLevel 1: $125,000.00 - $150,000.00\nLevel 2: $145,000.00 - $175,000.00\nYour actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.\nBase salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.\n

ITAR REQUIREMENTS

\nTo conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. &\nSpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.\nApplicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to& EEOCompliancespacex.com.&\nJob and company information not to be copied, shared, scraped, or otherwise disseminated without explicit consent of JSfirm, LLC.","type","jobPosting","source","LC","accountId","44916828","organizationName","SpaceX","applicationUrl","https://www.jsfirm.com/jobs?submitted=1&page=1&job=2001005","Hawthorne, CA","isRemote","location",{"_283":284,"_285":286},"createdAt","2026-09-16T17:27:51.484037300Z","updatedAt","2026-09-16T13:19:12.685Z","publishedAt","2026-09-15T00:00:00Z","expiresAt","2026-10-17T00:00Z","status","active","isExpired","isDiscoverable",true,"isSearchable","isSpotlight","isDraft","careerSkills",[187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],"requiredEducation","4_college","benefitCategories",[183,184,185,186],"amount",137500,"isEmailRequired","isPhoneRequired","formattedDescription","

Data Engineer (Starlink)

SpaceX

•

Hawthorne, California

•

PERMANENT

Updated 09/01/2026

Job Description

Job Summary

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of& enabling human life on Mars.

DATA ENGINEER

(STARLINK)

At SpaceX, we're leveraging our experience building rockets and spacecraft to deploy Starlink, the world's most advanced broadband internet system. Starlink is the world's largest satellite constellation, delivering fast, reliable internet to more than 10 million users worldwide. We design, build, test, and operate the full stack — satellites, user terminals, and the software that ties it all together.

As a Data Engineer on the Starlink Enterprise team, you will improve the quality of data flowing into our commercial systems and build the integrations and AI agents that turn that cleaner data into better decisions and faster execution — from pipeline generation through closed revenue and ongoing enablement. You will partner with Enterprise sales, channel and reseller operations, sales ops, and enablement to fix messy inputs, reduce manual cleanup, and ship automations that make go-to-market workflows more reliable.

RESPONSIBILITIES

Improve data hygiene and quality across go-to-market systems — identify bad, missing, duplicate, and stale records; implement validation, enrichment, and remediation so higher-quality data enters our system of record, opportunity, partner/reseller, and enablement workflows

Raise the quality of inputs to AI agents and analytics so outputs (recommendations, deal status, enablement answers, reporting) are more accurate, trustworthy, and actionable

Build integrations across internal tools and external systems so deal, customer, and partner context flows cleanly between sales, channel ops, and operational platforms — reducing manual re-entry and preventing quality issues at the source

Develop Model Context Protocol (MCP) servers and related interfaces that connect AI assistants (including Grok) to internal and external go-to-market systems, with an emphasis on reliable, well-scoped access to the right data and tools

Design, ship, and iterate AI agents that power Starlink Enterprise go-to-market workflows

Contribute to AI-powered applications and automations that accelerate lead-to-revenue cycles, working within the additional datasets and systems architecture owned by the team

Instrument data quality and agent performance with monitoring and feedback loops — catching regressions early and tying improvements to outcomes (e.g., cleaner pipeline, faster cycle times, higher adoption and trust)

Partner closely with sales, sales ops, channel/reseller ops, and enablement to turn recurring data-quality problems and manual processes into durable automations and standards

Create reusable tools, checks, and documentation that help the team maintain data quality and extend agents over time

BASIC 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.)

PREFERRED SKILLS AND EXPERIENCE

Experience improving CRM data quality (deduping, enrichment, validation rules, field completeness, source-of-truth discipline)

Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate with real business systems (APIs, CRMs, ticketing, data warehouses)

Experience designing APIs, webhooks, or integration layers that connect heterogeneous systems and keep data consistent across them

Familiarity with Model Context Protocol (MCP) or similar patterns for exposing tools and data sources to AI systems

Experience with CRM and go-to-market tooling; familiarity with Clay, HubSpot, Apollo, or similar sales engagement / enrichment platforms is a plus

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations workflows with data and automation

Experience with SQL and modern data tooling; exposure to Grok, internal AI platforms, or comparable LLM developer tooling is a plus

Experience with agent evaluation, guardrails, permissions, and human-in-the-loop patterns for production AI systems

Ability to thrive in a fast-changing environment, take initiative on ambiguous problems, and develop new expertise as the product and stack evolve

ADDITIONAL REQUIREMENTS

Must be available to work extended hours and weekends as needed

Willingness to travel to customer sites, other SpaceX locations, and events as needed

COMPENSATION AND BENEFITS

Pay Range:

Level 1: $125,000.00 - $150,000.00

Level 2: $145,000.00 - $175,000.00

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

ITAR REQUIREMENTS

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. 1157, or (iv) Asylee under 8 U.S.C. 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. &

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to& EEOCompliancespacex.com.&

Job and company information not to be copied, shared, scraped, or otherwise disseminated without explicit consent of JSfirm, LLC.

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Data Engineer (Starlink)

Data Engineer (Starlink Go-To-Market)