Remote AWS Data Engineer — ETL, Redshift & Data Warehousing

BairesDev; United States; Remote; MXN 1,358,000 - 1,868,000; Full time

Benefits offered by this job

Remote work

Competitive pay

Home office setup

Flexible hours

Parental leave

Career development

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.

You will build ETL pipelines with AWS Glue, Lambda, and Kinesis; develop warehouses with Redshift and S3; and manage IaC with Terraform or CloudFormation. Strong Python and SQL skills and excellent English are required.

Qualifications

• 4+ years of experience in Data Engineering, Cloud Engineering, or related technical fields.
• Proven expertise in building and optimizing data pipelines using AWS-native services like Glue, EMR, and Lambda.
• Proficiency in managing large-scale data storage and warehousing solutions using Amazon S3 and Redshift.
• Hands-on experience with Infrastructure as Code tools, specifically Terraform or CloudFormation, for data environments.
• Strong programming skills in Python and advanced proficiency in SQL for complex data transformations.
• Advanced proficiency in English.

Responsibilities

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

Skills

Python

SQL

AWS

Infra as Code

English

Tools

AWS Glue

Lambda

Kinesis

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.

You will build ETL pipelines with AWS Glue, Lambda, and Kinesis; develop warehouses with Redshift and S3; and manage IaC with Terraform or CloudFormation. Strong Python and SQL skills and excellent English are required.