Remote Data Engineer: AI-Powered Analytics Pipelines

Power Digital Marketing; Quilmes; Remote; ARS 181,747,000 - 257,474,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design, implement, and optimize data pipelines, collaborate with cross-functional teams, and ensure data quality and reliability in a production environment.

Qualifications

• 5+ years of strong hands-on experience with Databricks and PySpark
• Advanced SQL and data-processing skills
• Hands-on experience with GCP, particularly BigQuery
• Experience with Delta Lake and modern data lake/lakehouse architectures
• Strong ETL/ELT, data pipeline design, performance optimization, and data quality
• Experience building reliable, scalable, production-grade data solutions
• Strong analytical and troubleshooting skills
• Understanding of software engineering practices including testing, version control, deployment, monitoring, and production support

Responsibilities

• Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL
• Build and operationalize agentic workflows to automate data engineering and operational processes
• Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments
• Develop data pipelines and processing solutions to support new business requirements and datasets
• Build reusable frameworks and components across multiple data engineering and business use cases
• Implement data quality checks, monitoring, validation, exception handling, and production controls
• Optimize PySpark and SQL workloads for performance, reliability, and scalability
• Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions
• Troubleshoot complex data and production issues and implement sustainable solutions
• Collaborate with business, data engineering, and platform teams to identify further automation opportunities

Skills

Databricks

PySpark

Advanced SQL

GCP BigQuery

Delta Lake

ETL/ELT

Data pipelines

Python

Airflow

REST API

Education

Bachelor's degree in Computer Science / MIS / Computer Engineering or related fields

Tools

Databricks

GCP

Job description

Chevron Global Business Services (GBS) in Buenos Aires is seeking a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.

You will design, implement, and optimize data pipelines, collaborate with cross-functional teams, and ensure data quality and reliability in a production environment.