Senior Data Engineer – Enterprise Data & AI

Zoox; Foster City (CA); On-site; USD 206,000 - 247,000; Full time

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 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.

In this role, you will:

• 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.

Qualifications:

• 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.

Bonus Qualifications:

• 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.

$206,000 - $247,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate’s relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including 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, and life insurance.

About Zoox

Zoox is developing the first ground‑up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility‑as‑a‑service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast‑moving and highly execution‑oriented team.

Follow us on LinkedIn

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] or your assigned recruiter.

A Final Note

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.