Remote AWS Data Engineer - Build Scalable Pipelines

BairesDev; United States; Remote; MXN 700,000 - 1,100,000; Full time

Benefits offered by this job

Remote work

USD or local currency

Home office setup

Flexible hours

Parental leave

Global team

Mentorship & growth

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 performance of our cloud data platform, working with a global, fully remote team.

Responsibilities include building ETL pipelines with Glue/Lambda, managing Redshift data warehouses, and applying IaC with Terraform or CloudFormation. Strong Python and SQL skills and English proficiency are required.

Qualifications

• 4+ years of experience in Data/Cloud engineering.
• Experience building data pipelines using AWS-native services (Glue, EMR, Lambda).
• Proficiency with storage/warehousing using S3 and Redshift; IaC tooling Terraform or CloudFormation; Python and SQL; strong English.

Responsibilities

• Design and implement automated ETL pipelines using AWS Glue, Lambda, and Kinesis.
• Develop and optimize data warehouses using Amazon Redshift and S3.
• Manage IaC for data environments with Terraform or CloudFormation.
• Write high-performance data transformation logic in Python and SQL.
• Collaborate with technical teams to ensure data quality, security, and scalability across AWS services.

Skills

Python

SQL

English

ETL design

Tools

AWS Glue

AWS EMR

AWS Lambda

Terraform

CloudFormation

Amazon Redshift

S3

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 performance of our cloud data platform, working with a global, fully remote team.

Responsibilities include building ETL pipelines with Glue/Lambda, managing Redshift data warehouses, and applying IaC with Terraform or CloudFormation. Strong Python and SQL skills and English proficiency are required.