Staff Data Ingestion Platform Engineer (Remote)

WEX

California City (CA)

Remote

USD 180,000 - 280,000

Full time

6 days ago
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Job summary

WEX is building a data platform and seeks a Staff Software Engineer to own the technical direction of core data acquisition capabilities. You will design and deliver batch, CDC, and event-driven ingestion with a focus on quality, reliability, security, and cost.

You will build reusable connectors, metadata-driven ingestion services, and configuration-driven onboarding, mentor engineers, and establish automated testing and CI/CD practices for production readiness.

Qualifications

  • 8+ years of software engineering experience delivering production distributed systems or data platforms.
  • Strong programming skills in Python, Java, or Scala.
  • Experience with data ingestion pipelines and data quality controls.
  • Ability to lead architecture decisions and coordinate across teams.

Responsibilities

  • Build and maintain high-performance data acquisition pipelines.
  • Lead design reviews and mentor engineers across teams.
  • Establish automated testing and CI/CD for ingestion code.
  • Develop reusable connectors and configuration-driven onboarding.
  • Manage metadata, validation, and schema evolution with safe retries.

Skills

Python
Java
Scala
Data ingestion pipelines
Version control
Modular design
Testing
Performance tuning
Architecture decisions
Leadership
AI-assisted tooling
Ownership
Reusable connectors
Metadata-driven ingestion
Configuration-driven onboarding

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

CI/CD tooling

Job description

WEX is building a data platform and seeks a Staff Software Engineer to own the technical direction of core data acquisition capabilities. You will design and deliver batch, CDC, and event-driven ingestion with a focus on quality, reliability, security, and cost.

You will build reusable connectors, metadata-driven ingestion services, and configuration-driven onboarding, mentor engineers, and establish automated testing and CI/CD practices for production readiness.

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