Data Engineer (Databricks) - Remote Work | REF#297215

BairesDev

Minas Gerais

Remote

BRL 493,000 - 821,000

Full time

1 hour ago
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Benefits offered by this job

100% remote work
Competitive USD or local currency pay
Home office setup
Flexible hours
Paid parental leave & holidays

Job summary

BairesDev is looking for a Data Engineer specializing in Databricks to design and maintain scalable data pipelines within Databricks environments. You will bridge raw data sources and analytics-ready datasets using lakehouse architectures to ensure data reliability.

You will design ETL pipelines with PySpark and SQL, build Bronze/Silver/Gold layers, and collaborate with data scientists to deliver clean data for analytics and ML workloads.

Qualifications

  • 4+ years of Data or Software Engineering experience.
  • Proven Databricks and PySpark data pipeline expertise.
  • Strong SQL and data warehousing knowledge.
  • English proficiency at a high level.

Responsibilities

  • Design and implement end-to-end ETL pipelines in Databricks using PySpark and SQL.
  • Build Bronze, Silver, and Gold data lakehouse layers.
  • Develop orchestrations and ensure reliable production deployments.
  • Provide clean data for analytics and ML workloads.
  • Monitor data quality and performance; enforce schemas.

Skills

Databricks
PySpark
SQL
Data pipelines
Data lakehouse
English

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 (Databricks) at BairesDev

As a Data Engineer specializing in Databricks, you will develop and maintain scalable data pipelines and transformations within Databricks environments. You will act as a key link between raw data sources and analytics-ready datasets, leveraging lakehouse architectures to ensure data consistency and reliability.


What You'll Do


  • Design and implement end-to-end ETL pipelines using PySpark and SQL within the Databricks platform.

  • Build and optimize data transformations following the Medallion Architecture to create high-quality Bronze, Silver, and Gold layers.

  • Develop declarative pipelines and manage complex orchestration workflows to ensure reliable production deployments.

  • Collaborate with data scientists and analysts to provide clean, structured data for advanced analytics and machine learning workloads.

  • Ensure data integrity and performance through proactive monitoring, schema enforcement, and automated data quality checks.

  • Maintain and scale lakehouse environments to handle diverse structured and unstructured datasets efficiently.


What We Are Looking For


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

  • Proven expertise in developing and optimizing data pipelines using Databricks and PySpark.

  • Strong proficiency in SQL and experience with data warehousing concepts.

  • Hands-on experience building and maintaining data lakehouse architectures.

  • Deep understanding of ETL/ELT processes and large-scale data transformations.

  • 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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