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SpaceX Super IntelligencePosted 24 days ago

Software Engineer - X Data Engineering

Full-time
On-site
3+ years
$125K – $400K/yr
Posted 24 days ago

SpaceXSI is hiring a Data Engineer for the X product engineering team. The role builds and operates data solutions, pipelines, datasets, and internal tooling, and partners with product and business teams to improve data quality and support product decisions.

Computer Software

Posted
24 days ago
Source
job-boards.greenhouse.io
Sector
Information Technology & AI

Opens the employer's application page in a new tab

Responsibilities

  • Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions
  • Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance
  • Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data
  • Own data correctness end to end: validate with output invariants, denominator reconciliation, and independent recomputation, and lead root-cause investigations when key metrics move unexpectedly
  • Move fluidly across query engines and frameworks (e.g., BigQuery, Trino, Clickhouse for analytics; Flink, Kafka, Spark/Scalding for streaming and batch), choosing the right tool and adapting quickly to new infrastructure and environments
  • Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement
  • Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions

Qualifications

  • 3+ years of professional software engineering experience
  • Hands-on expertise in Python, Rust, Scala, Go or Java, and data pipeline toolings and distributed systems
  • Knowledge of realtime and batch data processing tools such as Spark/Kafka/Flink/SQL and various storage systems in RMDBs/NoSQL
  • Experience solving large scale problems and comfortable doing incremental quality work while building brand new systems to enable future quality improvements
  • Proven records of interpreting product requirements into engineering implementation plans, and effectively communicating with different groups (AI, product, marketing/sales and engineering)

Preferred

  • ideally in data engineering or distributed systems

Required skills

Distributed SystemsFlinkGoJavaKafkaNoSQLPythonRelational DatabasesRustSQLScalaSpark

Full job description

SpaceXSI is hiring a Data Engineer for the X product engineering team. The role builds and operates data solutions, pipelines, datasets, and internal tooling, and partners with product and business teams to improve data quality and support product decisions.

Computer Software

  • Insider Connection @SpaceX Super Intelligence
  • 2 email credits available today
  • Beyond your network
  • Nadeem Hussein
  • Software Engineering Data Specialist
  • From your previous company
  • Ika J.
  • Datacenter Linux Systems Administrator
  • Previously@Tata Consultancy Services
  • from your School
  • Lauren Maund

Responsibilities

  • Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions
  • Create shared datasets, fact tables, and internal data products that let other teams analyze, debug, and improve product performance
  • Prototype and build tooling that automates and accelerates internal data workflows — backfills, dashboards, report generation, and self-serve access to data
  • Own data correctness end to end: validate with output invariants, denominator reconciliation, and independent recomputation, and lead root-cause investigations when key metrics move unexpectedly
  • Move fluidly across query engines and frameworks (e.g., BigQuery, Trino, Clickhouse for analytics; Flink, Kafka, Spark/Scalding for streaming and batch), choosing the right tool and adapting quickly to new infrastructure and environments
  • Partner across product and business teams to surface where data gaps exist and prioritize the highest-impact opportunities for new data acquisition and improvement
  • Iterate quickly on feedback, shipping the smallest useful increment with a strong bias toward efficient, accurate, and reliable solutions

Preferred

  • ideally in data engineering or distributed systems

Benefits

  • Equity
  • Comprehensive medical, vision, and dental coverage
  • Access to a 401(k) retirement plan
  • Short & long-term disability insurance
  • Life insurance
  • Various other discounts and perks
  • Understand the Universe.
  • https://x.ai
  • Distribution of Different Job Fields Receiving Sponsorship
  • Represents job field similar to this job
  • Engineering and Development
  • Customer Service and Support
  • Management and Executive
  • Sales
  • Marketing
  • Trends of Total Sponsorships
  • *2026
  • (47)
  • 2025
  • (33)
  • 2024
  • (9)
  • 2023
  • (2)
  • Late Stage
  • Leadership Team
  • Christian Szegedy
  • Co-Founder
  • Kyle Kosic

Qualifications

  • 3+ years of professional software engineering experience
  • Hands-on expertise in Python, Rust, Scala, Go or Java, and data pipeline toolings and distributed systems
  • Knowledge of realtime and batch data processing tools such as Spark/Kafka/Flink/SQL and various storage systems in RMDBs/NoSQL
  • Experience solving large scale problems and comfortable doing incremental quality work while building brand new systems to enable future quality improvements
  • Proven records of interpreting product requirements into engineering implementation plans, and effectively communicating with different groups (AI, product, marketing/sales and engineering)
  • Ideally in data engineering or distributed systems

Required skills

  • Distributed Systems, Flink, Go, Java, Kafka, NoSQL, Python, Relational Databases, Rust, SQL, Scala, Spark

Preferred skills

  • ideally in data engineering or distributed systems

Experience

  • 3+ years

Job details

Employment type

Full-time

Seniority level

3+ years

Date posted

Oct 20, 2026

Work mode

On-site

Job source

job-boards.greenhouse.io

Company

SpaceX Super Intelligence

Information Technology & AI

See all 2 jobs from SpaceX Super Intelligence →
  • Palo Alto, CA
  • Information Technology & AI

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Software Engineer - X Data Engineering

SpaceX Super Intelligence · $125K – $400K/yr

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