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Salary
≈ $30k – $65k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
Chevron Corporation is an American multinational energy enterprise headquartered in Houston, Texas. As one of the world's largest integrated oil and gas companies, it operates across all stages of the energy supply chain, including hydrocarbon exploration and production, refining, marketing, transport, and petrochemical manufacturing. The company also invests in lower-carbon initiatives, renewable fuels, and emerging technologies to support global energy transition efforts.

Total Number of Openings

1

Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world’s current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies.

Chevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world’s growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all.

Role Overview

We are looking for a senior data engineer with 6-8 years of experience

in designing, developing, and maintaining enterprise-scale data platforms leveraging the Microsoft Azure ecosystem. The role requires expertise in data integration, data transformation, cloud-native data architectures, and data governance to enable reliable, secure, and scalable analytics solutions across the enterprise.

Experience with visualization and reporting tools such as Power BI is preferred at a familiarity level to support collaboration with analytics and business intelligence teams.

Key Responsibilities

  • Design, develop, and maintain enterprise data pipelines using Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Data Lake.

  • Build scalable ETL/ELT frameworks to ingest, transform, and process structured and unstructured data from multiple enterprise sources.

  • Develop and optimize data models for enterprise reporting, analytics, and AI/ML use cases.

  • Integrate data from APIs, databases, cloud platforms, and enterprise applications such as ServiceNow, SAP, and other business systems.

  • Ensure data quality, lineage, governance, security, and compliance across the data platform.

  • Implement performance tuning and optimization for large-scale datasets and data processing workloads.

  • Collaborate with business, analytics, and engineering teams to design reliable and scalable data solutions.

  • Support DevOps and CI/CD practices for data platform deployment and lifecycle management.

Required Skills

  • Strong experience with Azure Data Engineering services:

  • Azure Data Factory

  • Azure Data Lake Storage

  • Azure Synapse Analytics / Microsoft Fabric

  • Azure SQL Database

  • Advanced SQL and data modelling skills.

  • Experience in ETL/ELT design and implementation.

  • Python and/or Spark for data processing and automation.

  • Data warehousing and lakehouse architecture concepts.

  • Experience integrating APIs and enterprise data sources.

  • Knowledge of data governance, security, and access control frameworks.

  • Experience working with Git, CI/CD, and cloud-native deployment practices.

Good to Have

  • Familiarity with Power BI or other data visualization platforms.

  • Experience with Databricks, AI/ML, predictive analytics, or real-time streaming architectures.

  • Exposure to Power Apps, Power Automate, and low-code platforms.

  • Experience with industrial, operational technology (OT), or enterprise asset management data domains.

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.

What we can offer you

Everything we do at Chevron is guided by our values and our commitment to The Chevron Way.

Have the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.

  • Join a workplace where innovation, collaboration and safety are at the core of how we work.

  • Work in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.

  • Grow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron’s values and business priorities.

  • Access comprehensive benefits that support your health, well-being, and work-life balance.

  • Engage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.

How to apply

To be a part of our success, click APPLY to submit your application.

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

Privacy and Terms and Conditions

We respect the privacy of candidates for employment. This Privacy Notice sets forth how we will use the information we obtain when you apply for a position through this career site. If you do not consent to the terms of this Privacy Notice, please do not submit information to us.

Please access the Global Application Statements, select the country where you are applying for employment. By applying, you acknowledge that you have read and agree to the country specific statement.

Terms of Use

“ENGINE” refers to the Chevron Engineering and Innovation Excellence Center, which operates under Chevron Global Technology and Services Private Limited, an affiliate of Chevron Corporation. References to ENGINE in this document are for convenience only and do not denote a separate legal entity.

This job advertisement is intended to provide a general overview of the role and workplace environment. Role details and outcomes may vary based on business needs and individual performance.

Chevron participates in E-Verify in certain locations as required by law.

Chevron participates in E-Verify in certain locations as required by law.

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