Databricks Data Engineer (Apache Spark) - Remote work | REF#305827

BairesDev; United States; Remote; CLP 78,125,000 - 117,188,000; Full time

Benefits offered by this job

Remote work

USD compensation

Hardware provided

Flexible hours

Paid parental leaves

Mentorship & growth

Diverse team

Job summary

BairesDev is hiring a Databricks Data Engineer (Apache Spark) to design and optimize large-scale data pipelines across cloud environments. You will build data architectures using lakehouse and warehouse platforms, and collaborate with cross-functional teams to translate business requirements into scalable data structures.

We value advanced English, 5+ years of data engineering or software engineering experience, and a strong track record in Spark and Databricks.

Qualifications

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise building data pipelines with Spark and Databricks.
• Strong data processing, cloud data architectures, and data modeling skills.
• Advanced proficiency in English.

Responsibilities

• Design, implement, and optimize robust data pipelines to handle large-scale data workflows.
• Build efficient data architectures using modern lakehouse and warehouse platforms.
• Optimize processing jobs for peak performance, resource allocation, and cost-efficiency.
• Collaborate with cross-functional teams to translate complex business requirements into future-ready data structures.
• Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.

Skills

Apache Spark

Databricks

Data pipelines

Data modeling

Cloud data architectures

English (Advanced)

Tools

Databricks

Job description

Databricks Data Engineer (Apache Spark) at BairesDev

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.

What You'll Do

• Design, implement, and optimize robust data pipelines to handle large-scale data workflows.
• Build efficient data architectures using modern lakehouse and warehouse platforms.
• Optimize processing jobs for peak performance, resource allocation, and cost-efficiency.
• Collaborate with cross-functional teams to translate complex business requirements into future-ready data structures.
• Ensure data integrity, reliable ingestion, and clean data modeling across cloud environments.

What We Are Looking For

• 5+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building and managing data pipelines using Apache Spark and Databricks.
• Strong proficiency in large-scale data processing and optimization.
• Hands-on experience with cloud data architectures and data modeling.
• 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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