Senior Data Engineer: Remote AWS Data Pipelines

BairesDev; Distrito Capital; Remote; VES 79,017,000 - 105,356,000; Full time

Benefits offered by this job

100% remote work

USD compensation or local currency

Hardware provided

Flexible hours

Parental leave and holidays

Multicultural/global team

Job summary

BairesDev is seeking a Senior Data Engineer to design and maintain large-scale data pipelines and ensure data-driven decision-making across the organization. You will bridge raw data sources and analytics platforms, building robust infrastructure.

Responsibilities include ETL pipeline design, Redshift data warehouses, AWS services, and optimizing SQL performance. Collaboration with stakeholders to translate business requirements into scalable data solutions.

Qualifications

• 4+ years of experience in Data Engineering or Software Engineering.
• Expertise in designing and maintaining large-scale data pipelines.
• Proficiency in SQL for complex data manipulation and optimization.
• Hands-on ETL and data warehousing on Amazon Redshift.
• Deep understanding of AWS cloud services and data lake architectures."
• Advanced proficiency in English.

Responsibilities

• Design, build, and optimize scalable ETL pipelines to transform raw data into high-quality datasets.
• Develop and maintain sophisticated data warehouse architectures using Redshift and AWS services.
• Implement automated workflows to ensure data reliability, consistency, and accessibility at scale.
• Collaborate with stakeholders to translate complex business requirements into technical data solutions.
• Enhance system performance through advanced SQL optimization and infrastructure redesign.
• Establish best practices for data modeling and governance to support long-term scalability.

Skills

Data engineering

SQL proficiency

ETL/Redshift

AWS

English

Tools

Amazon Redshift

AWS services

Job description

BairesDev is seeking a Senior Data Engineer to design and maintain large-scale data pipelines and ensure data-driven decision-making across the organization. You will bridge raw data sources and analytics platforms, building robust infrastructure.

Responsibilities include ETL pipeline design, Redshift data warehouses, AWS services, and optimizing SQL performance. Collaboration with stakeholders to translate business requirements into scalable data solutions.