> Markdown version of [/jobs/ext/1758596-data-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/1758596-data-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Infrastructure Engineer - **Company:** XPeng Inc. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $174,720.0 - $295,680.0 - **Contract:** Permanent contract - **Skills:** Cloud Storage, Extract Transform Load (ETL), Data Warehousing, Distributed Computing Environment, Python (Programming Language), Machine Learning, Metadata, SQL Databases, Workflow Management Systems, Data Ingestion, Data Lakes, Information Technology, Data Pipelines - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/bfc6432a-e853-41b2-94e7-1040d61e819d ## About the Role * BS in Computer Science, or related fields (or relevant experience). * 3 + years industrial experience in the related field. * Proficient in both written and spoken English and Mandarin. * Passionate about autonomous driving technology. * Familiar with SQL and some prior experience with Python. * Experience with data lakes, data warehouses, ETL/ELT pipelines, distributed data processing, or cloud-based storage systems. * Familiarity with data modeling, schema design, data quality management, and workflow orchestration. * Strong communication skills. * Result-driven & can-do attitude. ## Description * Identify edge cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field. * Resolve edge cases with creative methods by leveraging in-house toolchains and working closely with Machine Learning Engineers & Annotation Team. * Monitor key efficiency metrics in edge case resolving process, analyze root causes of changes and provide constructive ways to improve the process * Build and maintain scalable data lake and data warehouse infrastructure, including data ingestion, storage, processing, and analytics pipelines. * Manage data quality, schemas, metadata, access controls, and system performance to ensure reliable and efficient use of large-scale autonomous driving data. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Startup Presentation: StorX - Future of Cloud Storage](https://www.wearedevelopers.com/videos/1176-startup-presentation-storx-future-of-cloud-storage) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology)