Data Engineer

SpaceX

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Starbase, TX
Posted
103 days ago
Freshness
Confirmed live 2 days ago

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Salary context

How this pay compares to similar roles

Similar $171k
$121k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $130,500–$211,200.

Based on 240 similar postings.

Employer

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

The Data Engineer (Starship) joins the Data and Operations Engineering team within the Starship Supply Chain division. This role involves owning the entire lifecycle of automations, applications, and data pipelines to support procurement, quality, material flow, and inventory operations. The engineer will query, clean, and transform data to inform various levels of leadership while collaborating with central software teams on shared ecosystem requirements. Key responsibilities include developing and improving operational metrics and building tools for non-technical stakeholders. Technical requirements include proficiency in SQL, Python, C#, and managing UNIX-like systems via the command line. The role utilizes data orchestration tools like Airflow, Prefect, or dbt, alongside libraries such as Pandas, NumPy, and PyTorch. Experience with Git, CI/CD, and visualization tools like Power BI or Grafana is also highly valued for this position.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Own automations, applications, and data pipelines from inception through monitoring and iteration.
  • Query, clean, and transform supply chain data for use by all levels of the organization.
  • Develop and standardize key performance indicators and other operational metrics.
  • Build and maintain automated ETL processes and data pipelines.
  • Design and develop web apps, dashboards, and self-service platforms for non-technical stakeholders.
  • Manage relational databases using SQL to support supply chain operations.
  • Implement CI/CD, testing, and monitoring protocols for software and data systems.

What we're looking for

  • Bachelor's degree in computer science, data science, engineering, math, physics, or a scientific discipline.
  • 2+ years of professional experience building software or data pipelines in lieu of a degree.
  • At least 1 year of experience in data engineering, data science, full stack development, or software engineering.
  • Proficiency with SQL and experience designing and querying relational databases.
  • Experience building and maintaining data pipelines, ETL processes, and using orchestration tools like Airflow, Prefect, or dbt.
  • Programming experience in Python, C#, or similar languages including machine learning libraries like Pandas, NumPy, and PyTorch.
  • Experience with version control (Git), CI/CD, testing, monitoring, and data visualization tools like Power BI or Tableau.
  • Must be a U.S. citizen, national, lawful permanent resident, or eligible for required export control authorizations.

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