Data Engineer for AI-Driven Autonomous Systems

Plus 2; Santa Clara (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Catered free lunch

Unlimited snacks and beverages

401(k) plan

Job summary

PlusAI in Silicon Valley is seeking a data engineer to build scalable data pipelines and analytics infrastructure for autonomous trucks. You will work with engineering and operations to implement ETL using SQL and big data technologies, and help drive data-driven decisions across the business.

The role requires strong Python and SQL skills, plus experience with Spark, Kafka and ML frameworks, to deliver actionable insights and secure data across AWS regions.

Qualifications

• MS/BS in a STEM field with strong data background.
• Experience with large-scale data processing and distributed systems.
• Proficient in Python, SQL and data pipelines.

Responsibilities

• Create and maintain data processing pipeline architecture.
• Build infrastructure for ETL using SQL and big data tech.
• Identify and implement internal process improvements for scalability.
• Develop analytics tools to derive insights on metrics and performance.
• Interpret data and produce ongoing reports with statistical methods.
• Analyze trends in complex data sets and communicate findings.
• Collaborate with executives, engineering, and operations on data needs.
• Secure data across multiple data centers and AWS regions.

Skills

Python

SQL

Microservices

Databases

Data pipelines

Spark

Kafka

TensorFlow

PyTorch

MapReduce

Education

MS in Computer Science

MS in Electrical Engineering

MS in related field

Tools

AWS S3

AWS EC2

AWS RDS

MapReduce

Spark

Kafka

TensorFlow

PyTorch

Job description

PlusAI in Silicon Valley is seeking a data engineer to build scalable data pipelines and analytics infrastructure for autonomous trucks. You will work with engineering and operations to implement ETL using SQL and big data technologies, and help drive data-driven decisions across the business.

The role requires strong Python and SQL skills, plus experience with Spark, Kafka and ML frameworks, to deliver actionable insights and secure data across AWS regions.