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
Skills Required
- 8+ years in Data Engineering
- Production-grade ETL/ELT pipeline development using Python and SQL
- Experience with orchestration frameworks (Airflow, Lakeflow, Argo)
- Proven ability integrating large-scale enterprise platforms (SAP S/4HANA, Ariba, BRIM, ME, Workday, Salesforce, Lever, Anaplan)
- Experience building self-healing systems, circuit breakers, automated retry logic, and robust error-handling/monitoring
- Design scalable, modular data architectures and AI-ready data models
- Track record delivering complex infrastructure projects from architecture to production and collaborating cross-functionally
- Experience using LLMs to automate data reconciliation, anomaly detection, or root-cause analysis
- Familiarity with cloud-native data platforms (Snowflake, BigQuery, Databricks)
- Familiarity with Terraform, Kubernetes, or serverless compute for deploying resilient data processing infrastructure
- Experience with Databricks Serverless, Managed Tables, Zerobus and Variant
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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