AWS Data Engineer - Remote Work | REF#302139

BairesDev; United States; A distancia; MXN 1.525.000 - 2.034.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD compensation

Home office setup

Flexible hours

Parental leave

Multicultural teams

Mentorship & growth

Descripción de la vacante

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

The role emphasizes building ETL pipelines with Glue/Lambda, Redshift, and IaC with Terraform or CloudFormation, while collaborating with global teams in a 100% remote setup.

Formación

• 4+ years in Data or Cloud Engineering.
• Experience building ETL pipelines with AWS services.
• Strong SQL and Python for data transformations.
• Experience with IaC using Terraform or CloudFormation.
• Experience with data warehousing in Redshift and S3.
• Excellent written and spoken English.

Responsabilidades

• Design and implement automated ETL pipelines.
• Develop data warehouses using Redshift and S3.
• Manage infrastructure as code with Terraform or CloudFormation.
• Write high-performance data transformation logic in Python and SQL.
• Partner with teams to ensure data quality and security.

Conocimientos

Python

SQL

Advanced English

Herramientas

AWS Glue

AWS Lambda

AWS EMR

Amazon Redshift

S3

Terraform

CloudFormation

Descripción del empleo

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting‑edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world’s Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you’re taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

As an AWS Data Engineer, you will design and maintain scalable data pipelines and warehousing solutions using AWS‑native services. You will act as a key technical resource in transforming raw data into actionable insights while ensuring the performance and reliability of the cloud data platform.

What You’ll Do

• 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.

What We Are Looking For

• 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.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).


• Excellent compensation in USD or your local currency if preferred


• Hardware and software setup for you to work from home.


• Flexible hours: create your own schedule.


• Paid parental leaves, vacations, and national holidays.


• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.


• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

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