Senior Data Engineer - Remote ETL & Data Warehouse Expert

BairesDev; Palo Alto (CA); Hybrid; MXN 2,037,000 - 2,547,000; Full time

Benefits offered by this job

100% remote work

USD compensation or local currency

Hardware and software setup for home

Flexible hours

Paid parental leaves and holidays

Multicultural, global team

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Senior Data Engineer to design and maintain large-scale data pipelines, connecting raw data sources with analytical systems for data-driven decisions.

You will work remotely on challenging projects, supported by a 100% remote model, competitive USD compensation, and a global, top-tier talent environment. Join a dynamic team delivering impactful data solutions across the organization.

Qualifications

• 4+ years of experience in Data or Software Engineering.
• Proven ability to design and maintain large-scale data pipelines.
• Proficiency in SQL for complex data manipulation.
• Hands-on ETL and data warehousing on Amazon Redshift.
• Strong understanding of AWS cloud services and data lake architectures.
• Advanced English proficiency.

Responsibilities

• Design, build, and optimize scalable ETL pipelines to transform raw data into high-quality datasets.
• Develop 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 pipelines

SQL

Amazon Redshift

AWS

ETL

Data warehousing

English

Tools

Redshift

AWS

Job description

BairesDev is seeking a Senior Data Engineer to design and maintain large-scale data pipelines, connecting raw data sources with analytical systems for data-driven decisions.

You will work remotely on challenging projects, supported by a 100% remote model, competitive USD compensation, and a global, top-tier talent environment. Join a dynamic team delivering impactful data solutions across the organization.