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Data Engineer

Buenos Aires, Buenos Aires, Argentina

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Chevron

What you’ll work on

Full posting
  • Deploy and maintain fully automated data transformation pipelines

  • Normalize and ingest data from multiple sources

  • Identify, acquire, cleanse and prepare data and develop data products

  • Make data available for advanced analytics models and contribute to models

  • Work with ML Engineers to scale and deploy models

From the employer’s posting
deploy and maintain fully automated data transformation pipelines
Responsible for normalizing and ingesting data from multiple sources
Identify, acquire, cleanse & prepare, store data and develop data products
Enable data scientists, making data available for advanced analytics models, and contributing to models
Work with ML Engineer to scale and deploy solution including model

What you’ll bring

All qualifications

Core experience

  • 5+ years in a data engineer role
  • BS in Computer Science, MIS, Computer Engineering or related field, or equivalent experience
  • Experience with Azure Data Factory, Databricks and Azure data services
  • Data acquisition, preparation, validation and movement skills
Qualification wording
+5 years in Data Engineer Role
BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience
Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake
data acquisition, preparation and validation; data movement and transformation

Tools in this posting

  • Java
  • Python
  • SQL
  • Azure
  • Databricks
Source — Tool mentions in context
- +5 years in Data Engineer Role - Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology - Analytical thinking, Consulting, Critical Thinking

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Status in our records
Live
First seen by us
May 6, 2026 · 165 days ago
Recorded sightings
343
Last seen by us
Oct 18, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on chevron.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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.
Job Description

GBS Chevron Global Business Services (GBS), located in Buenos Aires (Puerto Madero), Argentina, is accepting applications for the position of Data Engineer. Successful candidates will join the IT Organization, which is part of a multifunction service and technical center with a workforce of more than 1800 employees that deliver business services and solutions to the corporation across the globe.

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 include:

  • Understand business use of data and stakeholder requirements to support work processes and strategic business objectives

  • Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.

  • Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns

  • Responsible for normalizing and ingesting data from multiple sources.

  • Enable data scientists, making data available for advanced analytics models, and contributing to models.

  • Work with ML Engineer to scale and deploy solution including model, documentation, training, integration

  • Contributing to the inner source development of foundational tools, and/or the deployment of technical services.

Required Qualifications:

  • BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.

  • +5 years in Data Engineer Role

  • Knowledge and/or experience with:  data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology

  • Analytical thinking, Consulting, Critical Thinking

Relocation Options:

Relocation may 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

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

Source details

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Pay

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Location & working pattern

Buenos Aires, Buenos Aires, Argentina

Working pattern and location restrictions need checking in the full posting.

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

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