Python Data Pipeline Engineer (Apache Airflow) - Remote Work

BairesDev

Minas Gerais

Remote

BRL 451,000 - 752,000

Full time

3 days ago
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Benefits offered by this job

100% remote
USD salary or local currency
Flexible hours
Parental leave
Mentorship

Job summary

BairesDev is seeking a Python Data Pipeline Engineer (Apache Airflow) to design and implement automated workflows that move data from sources to analytics-ready structures. You will bridge raw data and BI insights, enabling reliable data movement and scalable transformations.

The role emphasizes Airflow-based orchestration, Python development, and collaboration with engineering teams across a 100% remote, globally distributed workforce. Strong English required.

Qualifications

  • 5+ years of experience in Data Engineering or Software Engineering.
  • Proven expertise in building, scheduling, and orchestrating data pipelines using Apache Airflow and Python.
  • Strong proficiency in developing data integration workflows and ETL/ELT processes.
  • Solid experience in optimizing data pipeline performance and troubleshooting complex workflows.
  • Advanced proficiency in English.

Responsibilities

  • Design, develop, and maintain complex data pipelines and workflow orchestration processes.
  • Build efficient data transformation routines to handle large-scale datasets.
  • Optimize pipeline performance and quickly resolve workflow bottlenecks or dependencies.
  • Collaborate with engineering teams to align data delivery strategies with business needs.
  • Establish best practices for pipeline monitoring, alerting, and automated scheduling.

Skills

Python
Airflow
Data Engineering
ETL/ELT
SQL
English

Tools

Airflow
Python
SQL
Pandas

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.

Python Data Pipeline Engineer (Apache Airflow) at BairesDev

As a Python Data Pipeline Engineer specializing in Apache Airflow, you will design and implement automated workflows to ensure seamless data movement and integration. You will act as a key connector between raw data sources and actionable analytics, creating reliable data structures that power business intelligence.

What You'll Do:
  • Design, develop, and maintain complex data pipelines and workflow orchestration processes.
  • Build efficient data transformation routines to handle large-scale datasets.
  • Optimize pipeline performance and quickly resolve workflow bottlenecks or dependencies.
  • Collaborate with engineering teams to align data delivery strategies with business needs.
  • Establish best practices for pipeline monitoring, alerting, and automated scheduling.
What we are looking for:
  • 5+ years of experience in Data Engineering or Software Engineering.
  • Proven expertise in building, scheduling, and orchestrating data pipelines using Apache Airflow and Python.
  • Strong proficiency in developing data integration workflows and ETL/ELT processes.
  • Solid experience in optimizing data pipeline performance and troubleshooting complex workflows.
  • 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 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.
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