Data Platform Engineer — Real-Time, Petabyte-Scale Infra

SpaceXSI; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Medical, Vision & Dental

401(k)

Disability Insurance

Life Insurance

Employee discounts

Job summary

SpaceXSI is actively building a data platform in California to move and process trillions of events daily. You will design, build, and operate distributed systems powering SpaceXSI's data movement and compute across the organization.

The role focuses on scaling real-time ML pipelines, analytics, and observability at petabyte scale, ensuring reliability and performance in production environments.

Qualifications

• Proficiency in Rust, Go, Scala or similar systems languages.
• Hands-on experience with Kafka, Flink, Spark, Trino, or Hadoop in production.
• Strong debugging, profiling, and performance optimization skills.
• Track record of shipping and maintaining critical infrastructure.
• Comfortable working in fast-moving, high-stakes environments with minimal guardrails.

Responsibilities

• Design and implement high-throughput, low-latency data ingestion and transport systems.

Skills

Rust

Go

Scala

systems languages

Tools

Kafka

Flink

Spark

Trino

Hadoop

Job description

SpaceXSI is actively building a data platform in California to move and process trillions of events daily. You will design, build, and operate distributed systems powering SpaceXSI's data movement and compute across the organization.

The role focuses on scaling real-time ML pipelines, analytics, and observability at petabyte scale, ensuring reliability and performance in production environments.