Senior Data Engineer – Enterprise, Data & AI

Zoox

Data Engineer building self-healing data pipelines for Zoox's autonomous vehicle fleet. Integrating complex enterprise sources into a unified data fabric in a fast-moving technical environment.

Posted 7/13/2026full-timeFoster City • California • 🇺🇸 United StatesSenior💰 $206,000 - $247,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and deploying self-healing data ingestion pipelines and building robust integration layers for enterprise platforms. Proficient in developing telemetry strategies and modernizing data architecture while ensuring compliance and governance standards.

Highest-signal resume keywords

Data EngineeringETL/ELT Pipeline DevelopmentPython ProgrammingSAP S/4HANA IntegrationAutomated Remediation Strategies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionSchema EvolutionAnomaly DetectionSQLAirflowLakeflowArgoError HandlingData ModelingTelemetry Development

Soft Skills

CollaborationBuilder MentalityProblem Solving

Tools & Technologies

Salesforce CRMWorkdayAnaplanLeverCross-Functional Team Collaboration

Industry Keywords

Data QualityData ArchitectureHigh-Volume Data SynchronizationSecurity StandardsCompliance Standards

Tech Stack

Tools & technologies

AirflowETLPythonSQL

About the role

Key responsibilities & impact

Design and deploy self-healing data ingestion pipelines that automatically detect anomalies, perform schema evolution, and recover from failures without manual intervention.
Build robust integration layers for diverse ecosystems, specifically focusing on SAP (S/4HANA, Ariba, BRIM, ME), Workday, Lever, Anaplan and Salesforce CRM.
Develop comprehensive telemetry and automated remediation strategies to monitor data quality, latency and pipeline health in near real time.
Ensure that data is cleaned, structured, and served in an "AI-ready" format, enabling our AI agents to query and interact with enterprise data reliably.
Modernize our data architecture to handle high-volume, cross-functional data synchronization while maintaining strict security, compliance, and governance standards.

Requirements

What you’ll need

8+ years in Data Engineering, with extensive hands-on experience building production-grade ETL/ELT pipelines using Python, SQL and modern orchestration frameworks (e.g. Airflow, Lakeflow, Argo)
Proven ability to work with large-scale enterprise platforms (SAP S/4HANA, Salesforce, Workday, etc.) and understanding the nuances of their respective APIs and data models
Demonstrated experience in building "self-healing" systems, implementing circuit breakers, automated retry logic and robust error-handling & monitoring mechanisms
Ability to design scalable, modular architectures that abstract the complexity of disparate enterprise systems into clean, usable data models
A "builder" mentality with a track record of driving complex infrastructure projects from architecture to production in fast-paced, high-stakes environments. Collaborating with cross-functional teams, AI & Analytics engineers

Benefits

Comp & perks

Paid time off (e.g. sick leave, vacation, bereavement)
Unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs
Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance