Remote AWS Data Engineer: Pipelines & Warehousing

BairesDev; Sucre; Remote; COP 283,751,000 - 472,918,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware setup for home work

Flexible hours

Paid parental leaves and holidays

Mentorship and growth opportunities

Global team collaboration

Job summary

BairesDev is seeking an AWS Data Engineer to design and maintain scalable data pipelines and warehousing using AWS-native services. You will transform raw data into insights while ensuring performance and reliability of the cloud data platform.

Join a global, 100% remote team delivering impactful data solutions for large enterprises and startups alike. Expect flexible hours, competitive compensation in USD, and opportunities for growth within a diverse, mentorship-driven environment.

Qualifications

• 4+ years in Data or Cloud Engineering.
• Experience building data pipelines with AWS services (Glue, EMR, Lambda).
• Proficiency with data warehousing using S3 and Redshift.
• IaC experience with Terraform or CloudFormation.
• Strong Python & SQL for data transformations.
• Advanced English proficiency.

Responsibilities

• Design and implement automated ETL pipelines using AWS Glue, Lambda, and Kinesis.
• Develop and optimize data warehouses using Amazon Redshift and S3.
• Manage infrastructure as code using Terraform or CloudFormation.
• Write complex data transformation logic using Python and SQL.
• Collaborate with technical teams to ensure data quality, security, and scalability across AWS data services.

Skills

Data engineering

Python programming

SQL

English proficiency

Tools

AWS Glue

AWS Lambda

AWS Kinesis

Amazon Redshift

S3

Terraform

CloudFormation

Job description

BairesDev is seeking an AWS Data Engineer to design and maintain scalable data pipelines and warehousing using AWS-native services. You will transform raw data into insights while ensuring performance and reliability of the cloud data platform.

Join a global, 100% remote team delivering impactful data solutions for large enterprises and startups alike. Expect flexible hours, competitive compensation in USD, and opportunities for growth within a diverse, mentorship-driven environment.