Remote Data Ingestion Architect

Pearster; Ciudad de Mendoza; Remote; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Competitive USD-based compensation

Flextime

Job summary

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Data Engineer to build and maintain automated data pipelines supporting data architecture and analytics. The role emphasizes ETL/ELT, data modeling, and collaboration with data scientists.

You will work with cloud platforms (AWS/GCP), Databricks, and modern data tooling to deliver trusted data for cost attribution and financial modeling. Relocation may be possible.

Qualifications

• BS in Computer Science or related field or equivalent experience.
• +5 years in Data Engineer roles.
• Experience with ETL/ELT, data modeling, and end-to-end pipelines.
• Proven ability to scale data tooling for analytics and ML.
• Experience with cloud data platforms (AWS/GCP) and Snowflake.

Responsibilities

• Design, develop, and maintain data pipelines for cost attribution and modeling.
• Enable data scientists with accessible, trusted data and governance.
• Collaborate with ML engineers to deploy scalable solutions.
• Implement data quality, auditing, and documentation practices.
• Contribute to internal data tools and data product delivery.

Skills

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

ETL/ELT pipelines

CI/CD

Terraform

REST API

Tools

Databricks

Azure Data Factory

Azure Synapse

GIT

ADO

Job description

Buenos Aires, Buenos Aires, Argentina
Full time
R

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.

**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.**

Responsibilities

• 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.

Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .

Chevron is an Equal Opportunity / Aff… Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling.

WHAT YOU WILL DO

Develop and implement tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling, enabling product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.

Build and maintain data pipelines and tooling that provide cost transparency, surface optimization opportunities, and support committed use discount modeling and management.

MUST HAVES

• 4+ years of experience in Data Engineering roles.
• Hands-on experience with SQL, Python, Spark, and Scala.
• Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
• Hands-on experience with AWS (Glue, Aurora, Athena), GCP, and Snowflake.
• Experience architecting and enhancing the long-term maintainability of end-to-end ELT/ETL data pipelines, including data modeling and schema maturity.
• Exposure to CI/CD development processes, Infrastructure as Code (Terraform), and REST API programming.
• Strong attention to detail, analytical skill, and comprehensive data auditing and end-to-end validation skills.
• Ability to explain technical concepts to non-technical audiences.

NICE TO HAVES

• Experience with FinOps teams or cost optimization job duties.
• FinOps Practitioner or FinOps Engineer certification.
• Experience with Datadog API endpoints.
• Experience with Go.

PERKS AND BENEFITS

• Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Argentina Full-time