Data Engineer Jobs at Zoox with Visa Sponsorship
Data Engineer jobs at Zoox sit at the center of building autonomous vehicles from the ground up, handling the sensor fusion pipelines, robotics datasets, and fleet telemetry that power self-driving systems. Zoox has a consistent track record of sponsoring work visas across multiple categories for this function.
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Get Access To All JobsINTRODUCTION
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.
ROLE AND RESPONSIBILITIES
- 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.
BASIC 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.
PREFERRED 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.
COMPENSATION
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 accommodations@zoox.com 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.
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.
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
- 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.
BASIC 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.
PREFERRED 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.
COMPENSATION
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 accommodations@zoox.com 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.
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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Get Access To All JobsTips for Finding Data Engineer Jobs at Zoox
Tailor your portfolio to autonomous vehicle data
Zoox's Data Engineer roles center on large-scale sensor data, simulation pipelines, and real-time telemetry. Before applying, document projects involving time-series data, distributed processing, or robotics datasets specifically, so your experience maps directly to their tech stack.
Clarify your visa category before your first interview
Zoox sponsors multiple visa types including H-1B, E-3, TN, and F-1 OPT. Knowing which category applies to you before the recruiter screen saves time and signals you understand the process, which matters to engineering hiring teams at companies with active immigration programs.
Use Migrate Mate to surface open Data Engineer roles at Zoox
Zoox posts Data Engineer openings across specializations that aren't always easy to track. Migrate Mate filters roles by visa sponsorship type so you can identify which positions align with your authorization category before investing time in an application.
Align your degree field to the specialty occupation standard
For H-1B eligibility, USCIS requires your degree to directly relate to the role. Data Engineer positions typically require computer science, electrical engineering, or a closely related field. A mismatch between your diploma and the job description is one of the most common petition complications.
Account for LCA filing lead time in your offer timeline
Before Zoox can file your H-1B petition, the DOL must certify a Labor Condition Application, which takes up to seven business days under standard processing. Build that window into your expected start date so it doesn't create friction after you've accepted an offer.
Flag OPT cap-gap eligibility if your H-1B is pending
If you're on F-1 OPT and Zoox files an H-1B petition before your OPT expires, cap-gap rules may extend your work authorization through September 30. Confirm this with USCIS guidance rather than assuming continuity, since any gap in authorization would interrupt your employment at Zoox.
Frequently Asked Questions
Does Zoox sponsor H-1B visas for Data Engineers?
Yes, Zoox sponsors H-1B visas for Data Engineer roles. The company has an established immigration program and works with legal counsel to file petitions for qualifying candidates. Because H-1B approvals are subject to the annual lottery cap, timing your application cycle and having your documentation in order before the March registration window opens is critical.
How do I apply for Data Engineer jobs at Zoox?
You can apply directly through Zoox's careers portal. To find roles filtered by visa sponsorship type before applying, Migrate Mate lists open Data Engineer positions at Zoox and lets you search by the visa categories the company supports. Tailoring your resume to highlight experience with large-scale data pipelines, sensor data processing, or autonomous systems will strengthen your application for this role.
Which visa types does Zoox commonly use for Data Engineer hires?
Zoox sponsors a range of visa categories for Data Engineers, including H-1B, H-1B1 visa for Chilean and Singaporean nationals, E-3 visa for Australian citizens, TN visa for Canadian and Mexican professionals, and F-1 OPT and CPT for students completing U.S. degree programs. Candidates on a Green Card path may also be supported through EB-2 or EB-3 sponsored PERM filings.
What qualifications does Zoox typically expect from Data Engineer candidates?
Zoox's Data Engineer roles generally require a bachelor's degree or higher in computer science, electrical engineering, or a related technical field, alongside hands-on experience with distributed data systems and pipeline tooling. Backgrounds in robotics data, sensor fusion, or simulation workflows are particularly relevant given the company's autonomous vehicle focus. USCIS requires the degree field to directly correspond to the role for H-1B specialty occupation purposes.
How do I plan my timeline if I'm relying on H-1B sponsorship at Zoox?
The H-1B process runs on a fixed annual calendar. USCIS opens registration in early March, and selected candidates can begin employment no earlier than October 1. That means if you're hired outside an existing cap-exempt or OPT window, you may wait several months before your status activates. Factoring this into your start date negotiation with Zoox's recruiting team avoids last-minute complications.