Staff Software Engineer, Data Infrastructure

SpaceX

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$265,000–$279,500 / yr
Posted
61 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $272k
$127k most similar roles pay here $296k

This role pays more than 98% of similar roles. Most pay $162,000–$219,425 — the shaded band above. At the midpoint, this role pays about $272k versus about $191k for comparable roles.

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 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

Most-posted roles

View all roles at SpaceX

At a glance

TL;DR · Staff Software Engineer, Data Infrastructure

As a Staff Software Engineer on Instacart’s Data Governance and Foundations Team, you will serve as a senior technical leader responsible for architecting and delivering the company's open lakehouse foundation, governance patterns, and multi-engine compute strategy. You’ll work closely with engineering leadership and stakeholders across various teams to ensure that architectural decisions are aligned with business needs while balancing reliability and cost efficiency over the next three to five years. Key responsibilities include translating data strategies into actionable roadmaps, driving real-time infrastructure for critical use cases like ads and fraud detection, and pioneering AI-native data infrastructure by integrating advanced tools. The role requires hands-on experience with modern data lakehouse architectures, distributed query engines, event-driven systems, and cloud technologies such as Apache Iceberg, Trino, Spark, Snowflake, Databricks, and AWS.

What you'll do

  • Translate data strategy into a multi-year architecture roadmap for scalability and efficiency.
  • Own the open lakehouse foundation, defining unified table formats and storage governance.
  • Drive real-time infrastructure deployment patterns and operational practices for critical use cases.
  • Pioneer AI-native data infrastructure engineering by applying advanced tools to platform lifecycle.
  • Elevate engineering excellence through leadership in architecture reviews and cross-org communication.

What we're looking for

  • 10+ years of experience in building and operating data infrastructure or distributed systems at production scale.
  • Hands-on expertise with modern data lakehouse architectures, open table formats (Apache Iceberg, Delta Lake), and distributed query/compute engines (Trino, Spark).
  • Experience with event-driven and streaming infrastructure (Kafka, Flink) for real-time pipelines and serving systems.
  • Proven ownership of major platform transitions or migrations delivered to production.
  • Ability to build cost/benefit models and drive alignment via clear architecture documentation across teams.

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