Senior Data Engineer, Realtime & Batch Pipelines

xAI

Palo Alto (CA)

Sur place

USD 180 000 - 330 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Equity
Comprehensive medical coverage
Vision and dental coverage
401(k) retirement plan
Disability insurance
Life insurance
Discounts and perks

Résumé du poste

SpaceXSI is seeking a Senior Software Engineer, Data Engineering to help build a distributed data platform powering realtime and batch pipelines at scale. You will work with BigQuery, Trino, ClickHouse for analytics and Flink, Kafka, Spark for streaming and batch processing, partnering with product, safety, and finance teams.

The role owns data correctness end-to-end and requires 5+ years of software engineering experience and fluency in Python/Rust/Scala/Go/Java.

Qualifications

  • 5+ years of professional software engineering experience.
  • Experience with Python, Rust, Scala, Go or Java and data pipeline tooling.
  • Experience with real-time and batch data processing tools.

Responsabilités

  • Design, build, and operate real-time and batch data pipelines powering user insights.
  • Create shared datasets and internal data products for teams to analyze.
  • Prototype tooling to automate data workflows and dashboards.
  • Own data correctness end to end: validate outputs and lead root-cause investigations when metrics shift.
  • Move across query engines and storage technologies, adapting to new infrastructure.
  • Collaborate with product and business teams to identify data gaps and opportunities.
  • Iterate quickly with a bias toward efficient, accurate, reliable solutions.

Connaissances

5+ years software engineering
Python, Rust, Scala, Go or Java
Data pipelines & distributed systems

Outils

BigQuery
Trino
ClickHouse
Spark
Kafka
Flink

Description du poste

SpaceXSI is seeking a Senior Software Engineer, Data Engineering to help build a distributed data platform powering realtime and batch pipelines at scale. You will work with BigQuery, Trino, ClickHouse for analytics and Flink, Kafka, Spark for streaming and batch processing, partnering with product, safety, and finance teams.

The role owns data correctness end-to-end and requires 5+ years of software engineering experience and fluency in Python/Rust/Scala/Go/Java.

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