Data Engineer - Remote Work

BairesDev; Bogotá ciudad; Remote; COP 288,610,000 - 416,880,000; Full time

Benefits offered by this job

100% remote work

Job summary

BairesDev is seeking a Data Engineer to design and build scalable data pipelines using a modern cloud-native stack that powers thousands of users with high-quality data across the organization.

You will own end-to-end data solutions from design to production, working with AWS Glue, Databricks, Spark, and Delta Lake while collaborating with cross-functional teams in a remote, global environment.

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 of Python for ETL and automation.
• Familiarity with monitoring, observability, and alerting in data pipelines.
• Advanced proficiency in English.

Responsibilities

• Design and build scalable, secure data pipelines in the cloud.
• Develop and optimize distributed data processing with Spark.
• Maintain Delta Lake tables, ensuring schema evolution and integrity.
• Write clean Python code for ETL and automation tasks.
• Collaborate with cross-functional teams to translate business needs into data solutions.

Skills

Data Engineering

Python

English

Observability

Education

Tools

AWS Glue

Databricks

Apache Spark

Delta Lake

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.