Senior Data Engineer — Remote, Flexible Hours, AWS/Redshift

BairesDev; Mexico; On-site; PHP 7,524,000 - 10,031,000; Full time

Benefits offered by this job

Remote work

USD pay option

Home office setup

Flexible hours

Paid parental leave

Job summary

BairesDev is a fully remote technology company renowned for delivering cutting-edge data solutions to global clients. As a Senior Data Engineer, you will design and maintain large-scale data pipelines that enable data-driven decision making across the organization.

You will work with Redshift and AWS services to build robust data infrastructures, optimize SQL performance, and implement governance practices for scalability.

Qualifications

• 4+ years of experience in Data Engineering or Software Engineering.
• Experience designing and maintaining large-scale data pipelines.
• Proficiency in SQL for complex data manipulation and performance optimization.
• Hands-on experience with ETL processes 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

Advanced SQL

ETL design

Data modeling

Analytical thinking

English proficiency

Tools

Amazon Redshift

AWS services

Data warehousing

Job description

BairesDev is a fully remote technology company renowned for delivering cutting-edge data solutions to global clients. As a Senior Data Engineer, you will design and maintain large-scale data pipelines that enable data-driven decision making across the organization.

You will work with Redshift and AWS services to build robust data infrastructures, optimize SQL performance, and implement governance practices for scalability.