Data Analytics Engineer Jobs at Zoox with Visa Sponsorship
Data Analytics Engineer jobs at Zoox sit at the intersection of robotics data pipelines, fleet telemetry, and safety validation, where the company builds autonomous vehicles from the ground up. Zoox has an established record of sponsoring work visas across multiple categories for engineering talent in this function.
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Get Access To All JobsINTRODUCTION
Zoox is seeking a high-agency, hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems. You will lead the design and implementation of our semantic layer and data modeling strategy, ensuring that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and "AI-ready" datasets. This is a critical leadership role for a builder who wants to own the data foundation that powers our intelligent agents and business-wide analytical workflows.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Design and maintain a unified semantic model that provides a "single source of truth" for cross-functional stakeholders, AI Agents, Self Serve Analytics and Executive dashboards.
- Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency.
- Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability.
- Implement automated testing and observability frameworks that proactively identify data anomalies and "self-heal" pipelines, ensuring our data is always reliable for downstream consumption.
- Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions.
BASIC QUALIFICATIONS
- 10+ years in Data Engineering & Analytics, with extensive hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (e.g. Airflow, Lakeflow, Argo). With at least 2+ years of hands-on experience deploying AI generated code.
- Extensive experience using modern data stacks (e.g. Snowflake/Databricks, Big Query) to build complex, enterprise-grade data models.
- Deep understanding of data structures within large-scale enterprise platforms (SAP S/4HANA, Salesforce, Workday, etc.) and the ability to reconcile disparate schemas into clean models.
- Exceptional ability to design modular, scalable, and performant data architectures that prioritize ease of use for downstream AI agents and Analytics tools.
- A track record of driving technical projects from design to completion, mentoring junior engineers, and fostering a culture of collaboration and data excellence.
PREFERRED QUALIFICATIONS
- Experience using LLMs to automate data reconciliation, anomaly detection or root-cause analysis within analytics pipelines with cloud-native data platforms (e.g., Snowflake, Databricks).
- Expert-level Python & SQL skills with a focus on query optimization and performance tuning for massive datasets and reviewing AI generated code.
- Proficiency in creating self-service Analytics environments (e.g., Tableau, Streamlit) that provide actionable insights to business stakeholders.
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 high-agency, hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems. You will lead the design and implementation of our semantic layer and data modeling strategy, ensuring that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and "AI-ready" datasets. This is a critical leadership role for a builder who wants to own the data foundation that powers our intelligent agents and business-wide analytical workflows.
ROLE AND RESPONSIBILITIES
In this role, you will:
- Design and maintain a unified semantic model that provides a "single source of truth" for cross-functional stakeholders, AI Agents, Self Serve Analytics and Executive dashboards.
- Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency.
- Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability.
- Implement automated testing and observability frameworks that proactively identify data anomalies and "self-heal" pipelines, ensuring our data is always reliable for downstream consumption.
- Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions.
BASIC QUALIFICATIONS
- 10+ years in Data Engineering & Analytics, with extensive hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (e.g. Airflow, Lakeflow, Argo). With at least 2+ years of hands-on experience deploying AI generated code.
- Extensive experience using modern data stacks (e.g. Snowflake/Databricks, Big Query) to build complex, enterprise-grade data models.
- Deep understanding of data structures within large-scale enterprise platforms (SAP S/4HANA, Salesforce, Workday, etc.) and the ability to reconcile disparate schemas into clean models.
- Exceptional ability to design modular, scalable, and performant data architectures that prioritize ease of use for downstream AI agents and Analytics tools.
- A track record of driving technical projects from design to completion, mentoring junior engineers, and fostering a culture of collaboration and data excellence.
PREFERRED QUALIFICATIONS
- Experience using LLMs to automate data reconciliation, anomaly detection or root-cause analysis within analytics pipelines with cloud-native data platforms (e.g., Snowflake, Databricks).
- Expert-level Python & SQL skills with a focus on query optimization and performance tuning for massive datasets and reviewing AI generated code.
- Proficiency in creating self-service Analytics environments (e.g., Tableau, Streamlit) that provide actionable insights to business stakeholders.
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 Analytics Engineer Jobs at Zoox
Tailor your portfolio to autonomous vehicle data
Zoox's analytics work centers on sensor fusion, robotics telemetry, and large-scale fleet data. Showcase projects involving time-series pipelines, real-time data infrastructure, or safety-critical datasets. Generic BI or web analytics experience won't differentiate you here.
Confirm your visa category before applying
Zoox sponsors H-1B, E-3, TN, and F-1 OPT, among others. Knowing which category fits your nationality and status before outreach lets you answer recruiter screening questions directly and avoids delays once a hiring manager is interested.
Target teams working on simulation and safety data
Data Analytics Engineers at Zoox often sit closest to autonomy validation and simulation pipelines. Roles tied to those teams tend to have the clearest sponsorship precedent, since they require specialized technical skills that support a strong specialty occupation argument for H-1B petitions.
Align your degree field with the role requirements
USCIS requires a direct relationship between your degree and the job duties for H-1B and E-3 approval. For data engineering roles at an autonomous vehicle company, degrees in computer science, statistics, or data science support that connection most cleanly.
Start OPT or CPT paperwork well before your offer
F-1 students targeting Zoox should initiate DSO paperwork as early as possible. OPT authorization can take up to 90 days from USCIS, and Zoox's onboarding timelines in hardware-intensive teams don't flex easily around authorization delays.
Use Migrate Mate to filter open roles by visa type
Zoox posts Data Analytics Engineer openings across multiple teams with varying sponsorship paths. Use Migrate Mate to filter listings by the visa categories Zoox actively supports, so you're applying to roles where your specific status already fits the company's sponsorship process.
Frequently Asked Questions
Does Zoox sponsor H-1B visas for Data Analytics Engineers?
Yes, Zoox sponsors H-1B visas for Data Analytics Engineers. The role typically qualifies as a specialty occupation given the degree requirements in computer science, data science, or a related field. Zoox also sponsors H-1B1 visas for Chilean and Singaporean nationals and has an active record of supporting both initial petitions and extensions for engineering roles.
Which visa types does Zoox commonly use for Data Analytics Engineer roles?
Zoox sponsors a broad range of visa categories for Data Analytics Engineers, including H-1B, H-1B1 visa, E-3 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa for exchange visitors, and EB-2 and EB-3 for permanent residence pathways. The right category depends on your nationality, current status, and career stage.
What qualifications does Zoox expect for Data Analytics Engineer positions?
Zoox's Data Analytics Engineer roles typically require a bachelor's degree or higher in computer science, data engineering, statistics, or a closely related field. Hands-on experience with large-scale data pipelines, SQL, Python, and distributed systems like Spark or Flink is expected. Familiarity with robotics or automotive sensor data is a strong differentiator given the nature of Zoox's product.
How do I apply for Data Analytics Engineer jobs at Zoox?
You can browse and apply for Data Analytics Engineer roles at Zoox directly through Migrate Mate, which filters open positions by visa sponsorship type so you can confirm your category is supported before applying. When you apply, align your resume to Zoox's autonomy and data infrastructure context. Recruiters move quickly on strong technical fits, so having your visa documentation and degree credentials ready speeds up screening.
How do I plan my timeline if I need Zoox to file an H-1B for me?
H-1B cap-subject petitions are filed in April for an October 1 start date. If you're not currently in H-1B status, build your job search timeline to secure an offer before early March, giving Zoox's immigration team enough runway to prepare the petition before the USCIS registration window opens. F-1 OPT holders can bridge the gap with a cap-gap extension if their OPT expires before October 1.