Senior ERP Data Engineer - Harmonize & Scale Enterprise Data

Cerebras; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Cerebras is seeking a Data Engineer in San Francisco, California, to drive AI-driven ERP modernization efforts. The successful candidate will focus on data harmonization, cross-system integration, and pipeline development. Responsibilities include designing ETL pipelines, monitoring data quality, and collaborating with Forward Deployment Engineers. Ideal applicants will have strong SQL skills, proficiency in Python, and experience with enterprise systems such as SAP and Salesforce. Competitive compensation between $180K and $250K is offered.

Qualifications

• Strong understanding of ETL processes and pipeline logic.
• Experience with enterprise systems like SAP and Salesforce.
• Ability to work effectively in ambiguous environments.

Responsibilities

• Integrate and standardize structured data across various systems.
• Design and implement ETL/ELT pipelines for AI-driven use cases.
• Monitor and optimize data pipelines for reliability and quality.

Skills

Strong SQL skills

Proficiency in Python

Relational data modeling

Experience with SAP S/4HANA

ETL pipeline development

Tools

PySpark

Job description

Cerebras is seeking a Data Engineer in San Francisco, California, to drive AI-driven ERP modernization efforts. The successful candidate will focus on data harmonization, cross-system integration, and pipeline development. Responsibilities include designing ETL pipelines, monitoring data quality, and collaborating with Forward Deployment Engineers. Ideal applicants will have strong SQL skills, proficiency in Python, and experience with enterprise systems such as SAP and Salesforce. Competitive compensation between $180K and $250K is offered.