Senior Data Engineer – Enterprise Data & AI
Foster, CA - USA
Job Summary
Zoox is seeking a highly motivated hands-on Data Engineer to build the next generation of autonomous self-healing data pipelines. You will be the primary responsible for building the framework to integrate complex mission-critical enterprise sources including SAP (S/4HANA Ariba BRIM ME) across Procurement Supply Chain Legal Finance HR and Marketing into a unified data fabric. This is a highly technical role for an engineer who thrives on building resilient automated systems that ensure high-fidelity data is always available for our AI agents and Analytics workflows.
- 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.
- 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.
- Experience using LLMs to automate data reconciliation anomaly detection or root-cause analysis within data pipelines.
- Familiarity with cloud-native data platforms (e.g. Snowflake BigQuery Databricks).
- Familiarity with Terraform Kubernetes or serverless compute to deploy and manage elastic resilient data processing infrastructure.
- Experience with Databricks Serverless Managed tables Zerobus and Variant
Required Experience:
Senior IC
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.