Spark Data Engineer - Remote work | REF#306536

BairesDev; Antioquia; Remote; COP 284,765,000 - 474,608,000; Full time

Benefits offered by this job

100% remote work

USD compensation

Hardware and software setup for home

Flexible hours

Paid parental leaves and vacations

Multicultural global team

Job summary

BairesDev is hiring a Spark Data Engineer to design and optimize robust data pipelines across batch and streaming workloads. Join a global team delivering high-impact data solutions and working 100% remotely.

The role emphasizes building scalable pipelines, Databricks-based lakehouse solutions, and close collaboration with engineers to ensure data quality and reliability. Advanced English required, flexible hours and international teams.

Qualifications

• 5+ years of experience in Data Engineering or Software Engineering.

Responsibilities

• Build and maintain scalable batch and streaming data pipelines.
• Optimize processing jobs for maximum performance and cost-efficiency.
• Develop analytics and lakehouse solutions at scale.
• Implement robust data modeling and transformations.
• Collaborate with engineering teams to ensure data quality and reliability.

Skills

Spark

Data modeling

ETL pipelines

English proficiency

Tools

Databricks

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.

Spark Data Engineer at BairesDev

As a Spark Data Engineer, you will design and optimize robust data pipelines to handle large-scale datasets. You will connect raw data sources with analytical platforms, ensuring high performance, scalability, and efficiency across the organization's data ecosystem.

What You'll Do

• Build and maintain scalable batch and streaming data pipelines.
• Optimize processing jobs for maximum performance and cost-efficiency.
• Develop advanced analytics and lakehouse solutions at scale.
• Implement robust data modeling and structural transformations.
• Collaborate with engineering teams to ensure data quality and reliability.

What We Are Looking For

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building and optimizing large-scale data pipelines using Apache Spark.
• Hands-on experience developing analytics and lakehouse solutions on the Databricks platform.
• Strong proficiency in data modeling, transformation, and processing at scale.
• 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!