Databricks Data Engineer (Apache Spark) - Remote work | REF#306534

BairesDev

Chile

Remote

CLP 118,577,000 - 158,103,000

Full time

4 days ago
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Benefits offered by this job

100% remote work
Competitive USD compensation
Hardware and software setup for home
Flexible hours
Paid parental leaves and holidays
Global, multicultural team

Job summary

BairesDev is seeking a Databricks Data Engineer to design and optimise large-scale data pipelines and cloud architectures. This role operates remotely, offering global reach and flexible hours while requiring strong English proficiency.

You will collaborate with cross-functional teams to translate complex business requirements into scalable data structures, ensuring data quality across lakehouse platforms and warehouses.

Qualifications

  • 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.

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.

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.

Databricks Data Engineer (Apache Spark) at BairesDev

As a Databricks Data Engineer, you will design and develop large-scale data processing systems to handle complex batch and streaming workloads. You will serve as a critical link between raw data streams and actionable insights, ensuring high performance, scalability, and robust cloud data architectures across the organization.

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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