Data Engineer - Remote Work

BairesDev; La Libertad; Remote; PEN 309,000 - 515,000; Full time

Benefits offered by this job

100% remote work

USD compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves, vacations, and H

Job summary

BairesDev, a global tech solutions leader, invites a data engineer to join our remote-first team. You will design and maintain ETL/ELT pipelines and empower data-driven decisions with governance and observability. You'll work with AWS Glue and Redshift, implement data cataloging with Collibra, and ensure data quality across the organization.

Proficiency in Python and strong English are essential. Enjoy 100% remote work, flexible hours, USD compensation, and a culture of mentorship and growth

Qualifications

• 5+ years of experience in data engineering.
• Strong ETL/ELT development experience.
• Hands-on experience with AWS, including Glue and Redshift.
• Experience with data cataloging using Collibra or similar tools.
• Proficiency in Python.
• Experience with observability and monitoring for data pipelines.
• Background in data QA.
• Advanced proficiency in English.

Responsibilities

• Build and maintain ETL/ELT pipelines across cloud data infrastructure.
• Implement data cataloging practices to ensure data assets are discoverable and well-governed.
• Set up observability and monitoring across data pipelines.
• Conduct data QA to ensure accuracy and reliability of data assets.

Skills

ETL/ELT development

Python

AWS Glue

Redshift

Data cataloging

Observability

Data QA

English

Tools

Collibra

Qlik Replicate

Job description

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.

Data Engineer at BairesDev

In this role, you'll build and maintain ETL/ELT pipelines that power reliable, well-governed data across the organization. Working with data cataloging tools and strong observability practices, you'll ensure data quality and trust throughout the pipeline. This is your opportunity to build the data infrastructure that business decisions depend on, combining pipeline engineering with data governance discipline.

What You'll Do:

• - Build and maintain ETL/ELT pipelines across cloud data infrastructure.
• - Implement data cataloging practices to ensure data assets are discoverable and well-governed.
• - Set up observability and monitoring across data pipelines.
• - Conduct data QA to ensure accuracy and reliability of data assets.

What we are looking for:

• - 5+ years of experience in data engineering.
• - Strong experience with ETL/ELT development.
• - Hands-on experience with AWS, including Glue and Redshift.
• - Experience with data cataloging using Collibra or similar tools.
• - Proficiency in Python.
• - Experience with observability and monitoring for data pipelines.
• - Background in data QA.
• - Advanced proficiency in English.

Nice to have:

• - Experience with AI tooling or MCP servers.
• - Background in data lake architecture using Redshift.
• - Experience with CDC tools such as Qlik Replicate or DMS.
• - Knowledge of insurance data models.
• - Experience with event-driven architecture.

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 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.