Data Engineer

Overview

We are seeking a Data Engineer to design and maintain scalable, modular, and cost-effective data pipelines using Microsoft Azure. Youll collaborate across teams to deliver high-quality data solutions that support enterprise architecture and analytics. Experience in machine learning is a strong advantage.

Key Responsibilities

• Build and optimize data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Fabric.
• Strong business stakeholder engagement
• Manage data outputs via Azure Data Lake Storage Gen2 and Blob Storage.
• Collaborate with data scientists, analysts, and architects to meet evolving data needs.
• Ensure performance, scalability, and reliability of Azure-based data solutions.
• Apply data validation techniques to maintain data quality and integrity.
• Document processes, configurations, and best practices.
• Monitor and resolve pipeline issues proactively.
• Drive CI/CD for data solution deployment and maintenance.
• Stay current with emerging technologies and industry trends.
  

Preferred Qualifications

• Strong experience with Azure data services and modern data engineering tools.
• Proficiency in Python, SQL, or Scala.
• Familiarity with CI/CD and DevOps practices.
• Exposure to machine learning workflows and model deployment is a plus.
  

Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
Chevron participates in E-Verify in certain locations as required by law.