Design and deploy self-healing ETL/ELT pipelines integrating enterprise platforms (SAP, Workday, Lever, Anaplan, Salesforce). Build telemetry, automated remediation, and AI-ready data models. Modernize data architecture for high-volume syncs while enforcing security, compliance, and governance. Collaborate with cross-functional AI and analytics teams to productionize resilient data infrastructure.
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
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 [email protected] 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.
Zoox Foster City, California, USA Office
4000 E 3rd Ave, Foster City, CA, United States, 94404
Zoox Foster City, California, USA Office
1149 Chess Drive, Foster City, CA, United States, 94404
Zoox Fremont, California, USA Office
47540 Kato Road, Fremont, CA, United States, 94538
Zoox San Francisco, California, USA Office
60 Broadway St, San Francisco, CA, United States, 94111
Similar Jobs
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Design, build, and deploy production-grade LLM applications and intelligent agents across enterprise functions. Manage full-stack pipelines from data ingestion and vector DBs to prompt engineering, fine-tuning, evaluation, deployment, monitoring, and security. Partner with cross-functional teams to automate workflows and ensure privacy, accuracy, and cost/latency optimization.
Top Skills:
ArizeAutogenAws BedrockGoogle Vertex AiLangchainLlamaindexLlmsLoraMilvusOpensearchPineconePythonQloraQuantizationRagasSpeculative DecodingVector DatabasesWeaviate
eCommerce • Fashion • Retail • Sales • Wearables • Design
Support the Store Manager to drive sales and KPIs, coach and develop staff, deliver excellent customer experiences, execute omni-channel and clienteling initiatives, manage operations (scheduling, payroll, loss prevention, visual merchandising), and ensure store safety and vendor relations.
Top Skills:
MS Office
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design and analyze digital and analog DRAM circuits for advanced HBM products, performing simulation, optimization, floorplanning, and trade-off analysis for timing, power, and area. Evaluate block- and full-chip functionality, perform architectural pathfinding, and collaborate with design and verification teams to ensure correctness and performance of next-generation HBM designs.
Top Skills:
3D DramCmosDramFinesimHbmHspiceMixed-Signal
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
