Data Engineer - Remote Work

BairesDev; Comisión de Fomento de Perú; Remote; ARS 136,430,000 - 227,383,000; Full time

Benefits offered by this job

Remote work

USD compensation

Hardware setup for remote work

Flexible hours

Parental leave

Job summary

BairesDev is seeking a Data Engineer to join our fully remote team. You will own end-to-end data solutions from design to production, building scalable pipelines and enabling global decision-making with high-quality data. You'll work with AWS Glue/Databricks, Spark, Delta Lake, and Python, collaborating across disciplines.

Excellent English and a passion for clean code and reliable data are essential. We offer 100% remote work, USD compensation, flexible hours, and strong mentorship in a diverse

Qualifications

• 5+ years of total experience in Data Engineering.
• 3+ years with AWS Glue or Databricks.
• 3+ years with Spark.
• 2+ years with Delta Lake.
• 5+ years with Python for ETL and automation.
• Advanced proficiency in English.

Responsibilities

• Design and implement scalable data pipelines using cloud tools.
• Develop and optimize distributed processes in Spark for large data volumes.
• Manage and maintain Delta Lake tables with schema evolution.
• Write and maintain clean, modular Python code for ETL and automation.
• Collaborate with cross-functional teams to translate business needs into reliable data solutions.

Skills

Data pipelines design

Python scripting

English proficiency

Distributed processing

Tools

AWS Glue

Databricks

Spark

Delta Lake

Python

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 work with a modern, cloud-native data stack to solve complex, large-scale data challenges that directly influence global decision-making. Building and optimizing data pipelines, you'll power how thousands of users access and leverage high-quality data across the organization. This is your opportunity to take end-to-end ownership of data solutions, from design to production, while tackling challenging problems like distributed processing, schema evolution, and real-time data flows.

What You'll Do:

• Design and implement scalable and secure data pipelines using AWS Glue or Databricks.
• Develop and optimize distributed processes in Apache Spark for large volumes of data.
• Manage and maintain Delta Lake tables, ensuring integrity, versioning, and schema evolution.
• Write and maintain clean, modular Python code for ETL and automation.
• Collaborate with cross-functional teams to translate business needs into reliable data solutions.

What we are looking for:

• 5+ years of total experience in Data Engineering.
• 3+ years of experience with AWS Glue or Databricks.
• 3+ years of experience with Spark.
• 2+ years of experience with Delta Lake.
• 5+ years of experience with Python for ETL and automation.
• Familiarity with monitoring, observability, and alerting in data pipelines.
• Advanced proficiency in English.

Nice to have:

• Experience with AWS.
• Familiarity with DataOps and DevOps workflows.
• Experience working with data cataloging and lineage tracking tools.
• Knowledge of SQL performance optimization.
• Exposure to event-driven architectures.

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.