Salary :
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.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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