Data Engineer - Remote Work

BairesDev; São Paulo; Remote; BRL 429,876 - 644,815; Full time

Benefits offered by this job

100% remote work

Excellent compensation in USD

Flexible hours

Paid parental leaves and vacations

Multicultural work environment

Mentorship and skill development

Job summary

A leading technology company is seeking an experienced Data Engineer to develop and maintain data processing systems using modern cloud-native tools. In this remote role, you'll work with technologies such as AWS Glue, Apache Spark, and Delta Lake to solve complex data challenges. Candidates should have significant experience in Data Engineering, proficiency in Python, and a collaborative mindset. Enjoy flexible hours and competitive compensation while being part of a diverse and innovative team.

Qualifications

• 5+ years of experience in Data Engineering.
• 3+ years of hands-on experience with AWS Glue or Databricks.
• 3+ years of experience with Apache Spark.

Responsibilities

• Design and implement scalable data pipelines using AWS Glue or Databricks.
• Develop and optimize processes in Apache Spark for large volumes of data.
• Manage Delta Lake tables, ensuring data integrity and versioning.

Skills

AWS Glue

Apache Spark

Python

Data Engineering

Databricks

Delta Lake

Monitoring systems

Cloud experience

English proficiency

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 for BairesDev

We are seeking an experienced Data Engineer to develop, analyze, maintain, and evolve data processing systems in operational and analytical environments. You'll work with a modern, cloud‑native data stack including AWS Glue, Apache Spark, Delta Lake, and Databricks to solve complex, large‑scale data challenges that directly impact global decision‑making and contribute to the company's core value stream.

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 data integrity, versioning, and schema evolution.
• Write and maintain clean, modular Python code for ETL processes and automation.
• Collaborate with cross‑functional teams to translate business needs into reliable data solutions.

What We Are Looking For:

• 5+ years of experience in Data Engineering.
• 3+ years of hands‑on experience with AWS Glue or Databricks.
• 3+ years of experience with Apache Spark.
• 2+ years of experience with Delta Lake.
• 5+ years of Python experience focused on ETL and automation.
• Familiarity with monitoring, observability, and data pipeline alerting systems.
• Cloud experience, preferably with the AWS ecosystem.
• 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
• 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!