Senior Data Engineer – Enterprise, Data & AI

📋 Description

• Design self-healing data ingestion pipelines with auto-detection of anomalies and recovery.
• Build robust integration layers for SAP S/4HANA, Ariba, BRIM, ME, Workday, Salesforce.
• Develop telemetry and remediation to monitor data quality, latency, and pipeline health in real time.
• Ensure data is cleaned, structured, and AI-ready for reliable AI querying.
• Modernize data architecture for high-volume cross-functional sync with strong security and governance.

🎯 Requirements

• 8+ years in Data Engineering; ETL/ELT pipelines with Python, SQL, Airflow, Lakeflow, Argo.
• Experience with SAP S/4HANA, Salesforce, Workday, and related APIs/data models.
• Built self-healing systems with circuit breakers, retry logic, and monitoring.
• Design scalable, modular architectures to abstract diverse enterprise systems.
• Builder mentality; led infra projects from architecture to production.
• Experience with Snowflake, BigQuery, or Databricks.

🎁 Benefits

• RSUs and Zoox Stock Appreciation Rights.
• Health, dental, and disability insurance.
• Paid time off including vacation and sick leave.
• Accommodations available during application/interview.
• Collaborative, fast-moving team in autonomy tech.