Remote AWS Data Engineer — Scalable Pipelines

BairesDev; Bogotá ciudad; Remote; COP 90,000,000 - 180,000,000; Full time

Benefits offered by this job

100% remote work

Excellent compensation in USD or local

Home setup provided

Flexible hours

Paid parental leaves, vacations, and国

Global team mentorship and growth

Multicultural work environment

Job summary

BairesDev is seeking an AWS Data Engineer to design and maintain scalable data pipelines and warehousing on AWS. You will transform raw data into actionable insights and ensure the performance of the cloud data platform.

Work remotely with a global team, using Python and SQL, and IaC tools (Terraform or CloudFormation) to deliver reliable data solutions with Glue, Redshift, S3, Lambda, and Kinesis. Candidates should have 4+ years in data or cloud engineering and strong English communication,

Qualifications

• 4+ years of experience in Data Engineering or Cloud Engineering.
• Expertise building data pipelines with AWS-native services.
• Experience with Redshift, S3, Glue, Lambda, and Kinesis.
• Infrastructure as code using Terraform or CloudFormation.
• Strong Python and SQL skills.
• Excellent English communication.

Responsibilities

• Design and implement automated ETL pipelines on AWS.
• Develop data warehouses using Redshift and S3.
• Manage IaC for reproducible environments.
• Write Python and SQL for data transformations.
• Ensure data quality, security, and scalability.

Skills

Data Engineering

Cloud Engineering

Python

SQL

AWS (Glue/EMR/Lambda)

Terraform/CloudFormation

English Proficiency

Tools

AWS

Redshift

S3

Glue

Lambda

Kinesis

Terraform

CloudFormation

Job description

BairesDev is seeking an AWS Data Engineer to design and maintain scalable data pipelines and warehousing on AWS. You will transform raw data into actionable insights and ensure the performance of the cloud data platform.

Work remotely with a global team, using Python and SQL, and IaC tools (Terraform or CloudFormation) to deliver reliable data solutions with Glue, Redshift, S3, Lambda, and Kinesis. Candidates should have 4+ years in data or cloud engineering and strong English communication,