Data Engineer

A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable and cost effective. In addition, the Data Engineer utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.

Responsibilities for this position may include but are not limited to:

• Understanding the business use of data and the stakeholders requirements to support work processes and strategic business objectives
• Leverage data and software engineering techniques, data science to create business value through data accessibility (includes data ingestion, data preparation and analytics processing)
• Identifying, acquiring, cleansing/preparing, storing data and developing reusable data products aligned with defined architecture patterns
• Enabling data scientists, making data available for advanced analytics models, and contributing to advanced analytics models
• Working with data analysts and architects to scale and deploy solutions including models, documentation, training, integration
• Contributing to the inner source development of foundational tools, and/or the deployment of technical services

Required Qualifications: 

• Knowledge and/or experience with data acquisition, preparation and validation; data movement and transformation; data modeling and software engineering using technologies such as: Azure Data Factory, Azure Data Bricks, Synapse and SQL expertise. 

Preferred Qualifications: 

• Python and Ansible experience.

Relocation Options: 

Relocation will not be considered. 

International Considerations: 

Expatriate assignments will not be considered. 

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.