Senior Data Engineer - Python Pipelines (Remote)

BairesDev; Distrito Capital; Remote; VES 78,878,000 - 113,935,000; Full time

Benefits offered by this job

Remote work

Flexible work hours

Home office setup

Global team

Job summary

BairesDev is seeking a Senior Data Engineer to design and maintain scalable, production-grade data pipelines using Python, serving as a bridge between raw data sources and analytics across our cloud stack. You will work 100% remotely with a globally distributed team, collaborating with stakeholders to translate business needs into robust data architectures, performance-tuning, and reliable data delivery.

The role emphasizes ELT/ETL development, DBT models, and AWS-based environments, with a

Qualifications

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building scalable data pipelines using Python.
• Advanced proficiency in SQL for data transformation and analysis.
• Hands-on experience with modern data tools such as DBT and cloud platforms like AWS.
• Strong understanding of CI/CD practices and version control using Git.
• Advanced proficiency in English.

Responsibilities

• Design and implement robust ELT/ETL pipelines to automate data ingestion and transformation.
• Develop complex data models and transformation layers using SQL and dbt to support advanced analytics.
• Optimize pipeline performance and scalability to handle large-scale datasets within AWS environments.
• Integrate modern data tools and CI/CD practices to streamline development and deployment workflows.
• Ensure data integrity and reliability through automated testing, validation, and proactive monitoring.
• Collaborate with stakeholders to translate business requirements into efficient technical data architectures.

Skills

Python

SQL

CI/CD

Git

English

Tools

DBT

AWS

Job description

BairesDev is seeking a Senior Data Engineer to design and maintain scalable, production-grade data pipelines using Python, serving as a bridge between raw data sources and analytics across our cloud stack. You will work 100% remotely with a globally distributed team, collaborating with stakeholders to translate business needs into robust data architectures, performance-tuning, and reliable data delivery.

The role emphasizes ELT/ETL development, DBT models, and AWS-based environments, with a