Remote Banking Qa & Bi Data Automation Engineer

BairesDev; Buenos Aires; A distancia; ARS 139.086.000 - 185.448.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

USD-based pay

Flexible remote/work options

Descripción de la vacante

Chevron GBS in Buenos Aires is seeking a Mid-level Data Engineer to build and maintain data pipelines and data marts, enabling reporting, spend analytics, and AI features for customer-facing solutions.

The role focuses on dbt pipelines, Snowflake models, and translating business logic into reliable pipeline code, with a strong emphasis on data quality and observability. Relocation is possible, and remote work options are available.

Formación

• BS in Computer Science, MIS, Computer Engineering or equivalent.
• 5+ years as Data Engineer.
• Experience with ETL, data movement and validation, analytics architecture and cloud data platforms.
• Experience with Azure Data Factory, Databricks and SQL/Data Lake technologies.
• Strong analytical thinking and problem solving.

Responsabilidades

• Understand business data needs and stakeholder requirements.
• Leverage data, software engineering, and data science techniques to create value from data.
• Normalize and ingest data from multiple sources and build data products.
• Enable data scientists by preparing data for analytics and models.
• Collaborate with ML engineers to scale and deploy data solutions.
• Contribute to internal tools and deployment of data services.

Conocimientos

Analytical thinking

Consulting

Critical thinking

Educación

Bachelor's degree in CS/MIS/CE

Herramientas

Azure Data Factory

Databricks

Python

Java

Ansible

Azure SQL

Azure Synapse

Git

Azure Data Lake

Logic Apps

Data Flows

Descripción del empleo

Buenos Aires, Buenos Aires, Argentina
Full time
R

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.

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.

Equal Opportunity

Chevron is an Equal Opportunity / Affrjective 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.

Benefits & Perks

• 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.

Additional Role Details (Mid-level Data Engineer)

We are looking for a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

• Build and maintain dbt pipelines, data marts, and warehouse models.
• Translate business logic into maintainable, well-tested pipeline code.
• Maintain semantic layer for internal SAP and AI agents.
• Implement data quality checks, freshness, schema and reconciliation tests, and alerting.
• Tune Snowflake performance and cost.
• Use agentic coding tools within guardrails.

Required Qualifications (Data Engineer II/III)

• Formal training or relevant data engineering certification and 5+ years applied experience.
• Experience in Qlik Sense in both ETL and Dashboard development.
• Practical experience in full stack projects, backend technologies such as Java, Spring Boot, JPA, Spring Data Repositories.
• Experience with SQL relational DB technologies such as MySQL, Oracle RDMS.

Preferred Qualifications

• Knowledge of Web Frameworks (.NET, React) will be an added advantage.
• Exposure to public cloud technologies, AWS/GCP/Azure experience or certifications.
• Experience in observability, monitoring, and telemetry collection.
• Familiarity with industry-wide technology trends and best practices.

Working Hours & Remote Work

Full time and maintain significant overlap with U.S. business hours, including evening or overnight schedules as needed.

Dedicated home office or professional remote work environment.

Reliable high-speed internet connection capable of supporting video conferencing and daily business operations.

Location

Argentina Full-time