Senior Data Engineer — Remote Data Pipeline Architect

BairesDev; Jalisco; Remote; MXN 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work 100%

Competitive pay (USD or local currency

Equipment provided

Flexible hours

Paid parental leave

National holidays

Job summary

BairesDev is hiring a Senior Data Engineer to design and maintain large-scale data pipelines, connecting raw data sources with analytical systems. You will build robust infrastructure for data-driven decision-making, working remotely with a global top-tier talent pool.

You will develop data warehouses on Redshift, optimize SQL, and collaborate with stakeholders to deliver scalable data solutions across the organization.

Qualifications

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in 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

Data pipeline design

SQL optimization

AWS / Redshift

Stakeholder collaboration

Data modeling

Data governance

English proficiency

Tools

Amazon Redshift

AWS

ETL tooling

Job description

BairesDev is hiring a Senior Data Engineer to design and maintain large-scale data pipelines, connecting raw data sources with analytical systems. You will build robust infrastructure for data-driven decision-making, working remotely with a global top-tier talent pool.

You will develop data warehouses on Redshift, optimize SQL, and collaborate with stakeholders to deliver scalable data solutions across the organization.