Senior Data Engineer: Self-Healing AI-Ready Pipelines

Zoox

Foster City (CA)

On-site

USD 206,000 - 247,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Paid time off
Disability insurance

Job summary

Zoox is seeking a highly motivated, hands-on Data Engineer to build autonomous, self-healing data pipelines and unify complex enterprise sources (SAP, Workday, Salesforce) into a robust data fabric for AI and analytics. You’ll design resilient ingestion layers, monitor data quality, and enable AI-ready data access across procurement, finance, HR and marketing.

The role requires extensive experience building production ETL/ELT pipelines with Python and SQL, plus expertise with enterprise

Qualifications

  • 8+ years in Data Engineering with hands-on experience building production-grade ETL/ELT pipelines using Python, SQL and modern orchestration frameworks.
  • Experience with large-scale enterprise platforms (SAP S/4HANA, Salesforce, Workday, etc.) and understanding APIs and data models.
  • Experience building self-healing systems with circuit breakers, retries and robust monitoring.
  • Ability to design scalable, modular architectures across disparate enterprise systems.
  • Builder mentality with track record of driving infrastructure projects from architecture to production in fast-paced environments.

Responsibilities

  • Design and deploy self-healing data ingestion pipelines that detect anomalies, perform schema evolution, and recover from failures without manual intervention.
  • Build robust integration layers for SAP, Workday, Lever, Anaplan and Salesforce CRM.
  • Develop telemetry and automated remediation strategies to monitor data quality, latency and pipeline health in near real time.
  • Ensure data is cleaned, structured, and served in an AI-ready format for AI agents and analytics workflows.
  • Modernize data architecture to handle high-volume data synchronization with security and governance.

Skills

Data engineering
ETL/ELT pipelines
Python
SQL
Self-healing systems
APIs & data models
Architecture design
Cross-functional collaboration

Tools

SAP S/4HANA
Ariba
BRIM
ME
Workday
Lever
Anaplan
Salesforce CRM
Airflow
Lakeflow
Argo

Job description

Zoox is seeking a highly motivated, hands-on Data Engineer to build autonomous, self-healing data pipelines and unify complex enterprise sources (SAP, Workday, Salesforce) into a robust data fabric for AI and analytics. You’ll design resilient ingestion layers, monitor data quality, and enable AI-ready data access across procurement, finance, HR and marketing.

The role requires extensive experience building production ETL/ELT pipelines with Python and SQL, plus expertise with enterprise

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