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Tesla · 上海市, 中国

# Data Engineer

上海市, 中国 Data & Analytics 

Listed on Tesla’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tesla’s careers site →](https://app.mokahr.com/social-recruitment/tesla/46129#/job/c4f4fcb5-9f29-4e01-a6e4-fc5b13aa444e)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tesla](https://jobs.opennash.com/companies/tesla/) / Data Engineer

## Job description

The Role We're looking for a Data Engineer to join our Data Engineering team and play a pivotal role in shaping how Tesla leverages data across its Sales, Delivery, and Service lifecycle. You'll design, build, and scale our Enterprise Data Warehouse and AI/BI-powered intelligent solutions — directly impacting how the entire organization makes decisions, optimizes operations, and delivers on Tesla's mission. This is a high-visibility role with the opportunity to work at the intersection of large-scale data engineering and applied AI, building systems that serve teams and factories across the globe.

### Responsibilities

Architect & Deliver enterprise-grade Data Warehouse solutions in fast-paced, deadline-driven environments. Build & Optimize ETL/ELT pipelines at scale using Spark, Flink, and related technologies. Design Real-Time Data Infrastructure — implement streaming and event-driven architectures using Kafka, Spark Streaming, and similar frameworks. Develop AI-Powered Data Agents that interface with LLMs, data warehouses, and BI platforms — engineered to handle high-throughput traffic with reliability and low latency.

Standardize & Scale BI Solutions across APAC operations, ensuring consistency and reusability across regions. Translate Business Challenges into Technical Solutions — partner closely with stakeholders to decompose complex pain points into well-scoped, executable engineering deliverables. Establish Robust Automation — build scalable, repeatable processes for data analysis, model development, validation, and deployment. Collaborate Cross-Functionally with business sponsors and IT teams to prioritize, estimate, and deliver enhancements — especially under time-critical conditions.

### Requirements

Must Qualifications Proven experience designing and operating large-scale data pipelines in production environments. Strong expertise in Data Warehouse ETL/ELT design, development methodologies, tooling, and best practices. Hands-on experience with AI agent development, including working knowledge of coding agents, LLM integration patterns, LLM Wiki, and tool/skill orchestration.

### Preferred Qualifications

3+ years of hands-on development experience with technologies such as Hive, Hadoop, StarRocks, Spark, and/or Flink. Deep experience with data warehouse architecture and data middle platform design, development, and governance. Genuine passion for applying AI/ML to real-world engineering problems — you don't just use the tools, you push their boundaries. Familiarity with high-concurrency system design and performance optimization for analytics platforms.

Strong communication skills with the ability to operate effectively across technical and non-technical audiences.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 上海市, 中国[Apply on Tesla’s careers site →](https://app.mokahr.com/social-recruitment/tesla/46129#/job/c4f4fcb5-9f29-4e01-a6e4-fc5b13aa444e)

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