Senior Data Engineer - Remote | AWS Redshift & Pipelines

BairesDev; Chile; Remote; CLP 107,632,000 - 166,341,000; Full time

Benefits offered by this job

Remote work 100%

USD or local currency compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves, vacations, and

Global, multicultural team

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Senior Data Engineer to design and maintain large-scale data pipelines, enabling reliable data flow across the organization. You will build Redshift-based data warehouses on AWS, optimize SQL performance, and implement automated ETL workflows to support analytics at scale.

This fully remote role offers flexible hours and the opportunity to collaborate with a global Top 1% tech talent.

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 engineering

SQL

ETL

AWS

Amazon Redshift

Pipelines

English

Tools

Amazon Redshift

AWS

Job description

BairesDev is seeking a Senior Data Engineer to design and maintain large-scale data pipelines, enabling reliable data flow across the organization. You will build Redshift-based data warehouses on AWS, optimize SQL performance, and implement automated ETL workflows to support analytics at scale.

This fully remote role offers flexible hours and the opportunity to collaborate with a global Top 1% tech talent.