Data Engineer – Data Platforms & Ai Tooling (Remote, Latam)

Itx-Jordan

Quilmes

Remote

ARS 181,747,000 - 272,620,000

Full time

36 hours ago

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Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime: remote and office options

Job summary

Chevron Global Business Services (GBS) in Buenos Aires, Argentina, is seeking a Senior Data Engineer to design and maintain automated ETL pipelines and data products for analytics and ML. You will work in a multinational IT organization delivering data solutions to the enterprise.

Ideal candidates bring 5+ years in data engineering, strong SQL, Python/Java, and experience with Azure data services and Databricks. Relocation may be considered; Agile practices apply.

Qualifications

BS in Computer Science, MIS, or related field or equivalent experience.
+5 years in Data Engineer role.
Experience with ETL/ELT, data movement, and cloud data architectures.

Responsibilities

Understand data use and stakeholder requirements to support processes.
Build automated data pipelines for ingestion and analytics.
Normalize and ingest data from multiple sources into the data lake/warehouse.
Enable data scientists with accessible data and model-ready features.
Collaborate with ML engineers and dev teams in AWS/Azure environments.

Skills

SQL

Data ingestion

Big data

Cloud computing

Python

Java

Azure Data Factory

Databricks

DevOps

Education

BS in Computer Science or related field

Tools

Azure Data Factory

Databricks

Azure SQL

Azure Synapse

Azure Data Lake

Git

ADO

Python

Java

Ansible

Job description

Buenos Aires, Buenos Aires, Argentina
Full time
R

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.

Job Description

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 / Affiantative Action employer. 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 Senior Data Engineer to replace a third‑party data ingestion tool with an owned ETL pipeline.

MUST HAVES

4+ years of strong SQL and large‑scale data ingestion/pipeline experience (batch ETL, orchestration, schema design).
Working knowledge of AWS data services (RDS/Postgres, S3, ECS) sufficient to build within an existing cloud environment.
Practical experience with Claude Code or similar tools, and agents or MCP in real work.
Ability to contribute to application and backend work beyond pure ETL to support broader platform needs.
Familiarity with, or ability to quickly evaluate, managed ELT tools (such as Fivetran) against custom builds.
Ability to ramp into existing attribution and scoring logic so ingestion output aligns with downstream dashboard needs.

NICE TO HAVES

Direct or adjacent experience with digital advertising / DSP data (e.g., Amazon DSP, Amazon Advertising API, or comparable programmatic platforms).
Experience replacing legacy third‑party data pipelines with owned, custom infrastructure.
Familiarity with MLOps pipelines and how data feeds predictive models.
Experience working alongside part‑time technical advisory leads to validate architecture decisions.

WHAT YOU WILL DO

Document current ingestion logic inside the legacy tool, including sources, endpoints, schemas, and transformation logic.
Build the ETL pipeline to replace the legacy system, handling ingestion from the Amazon API, other DSP platforms, and related digital data sources.
Evaluate and decide between off‑the‑shelf solutions (e.g., Fivetran) and owned ETL systems alongside the Infrastructure Lead.
Design the pipeline as a standalone, owned system to power client‑facing dashboards.
Provide flexible engineering support for application and backend work within the AWS environment when directed.
Coordinate with data science teams to ensure ingestion output aligns with the attribution and scoring logic of downstream models.
Work seamlessly within the existing AWS environment (ECS, S3, RDS) rather than standing up parallel infrastructure.

PERKS AND BENEFITS

Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation : USD‑based pay with education, fitness, and team activity budgets.
Exciting projects : Modern solutions with Fortune 500 and top product companies.
Flextime : Flexible schedule with remote and office options.

We are seeking an experienced Data Engineer (mid‑level) to join our Market Data Services team, focusing on our high‑impact Third Party Data program .

As a Engineer at JPMorgan Chase within our Market Data Services team, you will play a pivotal role in delivering third‑party data, via cloud‑based Data Platforms for business use across JPMorgan including AI/ML. You will be working within an Agile project environment, participating in two‑week sprint cycles, and collaborating closely with cross‑functional teams to deliver high‑quality solutions.

Key Responsibilities

Extract, Transform and Load data from Third Parties into AWS Storage and Databases.
Building and maintaining AWS Environments.
Configure monitoring for cloud environments.
Actively participate in Agile ceremonies and two‑week sprint cycles.

Required qualifications, skills, and capabilities

Experience with AWS Lambda, AWS Neptune, AWS Glue.
Proficient in SQL for Oracle, No‑SQL DSL for Elasticsearch or any other Database querying language.
Experience with AWS and Terraform for building and maintaining solutions.
Cloudwatch or Dynatrace experience.
Experience working in Agile teams.
Experience with Python development.

Preferred qualifications, skills, and capabilities