Autonomous Driving Data Platform Engineer

Socket.dev; Santa Clara (CA); On-site; USD 174,720 - 295,680; Full time

Benefits offered by this job

Competitive compensation

Equity

Snacks, lunches and fun activities

Job summary

XPENG is seeking a Data Infrastructure Engineer to design and maintain scalable data lakes and analytics pipelines for autonomous driving data. You will collaborate with ML engineers and the Annotation Team to ensure data quality and enable data-centric AI insights.

Required: BS in Computer Science, 3+ years in data engineering, proficiency in English and Mandarin, and experience with data lakes, data warehouses and ETL/ELT pipelines.

Qualifications

• BS in Computer Science or related field.
• 3+ years of data engineering experience.
• Proficient in English and Mandarin.
• Experience with data lakes, data warehouses, ETL/ELT pipelines.
• Strong communication and problem-solving skills.

Responsibilities

• Identify edge cases in autonomous driving data and build scalable data pipelines.
• Build and maintain data lake and data warehouse infrastructure including ingestion, storage, processing and analytics.
• Manage data quality, schemas, metadata, access controls and system performance for large-scale datasets.
• Collaborate with ML engineers and Annotation Team to apply data-centric AI principles.

Skills

SQL

Python

Data Lakes

Data Warehouses

ETL/ELT

Data Modeling

Schema Design

Data Quality

Workflow Orchestration

English & Mandarin

Education

BS in Computer Science

Job description

XPENG is seeking a Data Infrastructure Engineer to design and maintain scalable data lakes and analytics pipelines for autonomous driving data. You will collaborate with ML engineers and the Annotation Team to ensure data quality and enable data-centric AI insights.

Required: BS in Computer Science, 3+ years in data engineering, proficiency in English and Mandarin, and experience with data lakes, data warehouses and ETL/ELT pipelines.