Python Data Pipeline Engineer (Apache Airflow) - Remote Work

BairesDev; São Paulo; Remote; BRL 601,000 - 902,000; Full time

Benefits offered by this job

100% remote work

Competitive compensation in USD

Hardware provided

Flexible hours

Paid parental leave

Vacations and holidays

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Python Data Pipeline Engineer (Apache Airflow) to design and maintain data pipelines, enabling reliable data movement and analytics.

This fully remote role requires 5+ years in data or software engineering, strong Python and Airflow skills, and experience with ETL/ELT. You will collaborate with global teams and work flexible hours, with compensation in USD.

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

Apache Airflow

Python

Data pipelines

ETL/ELT

Workflow orchestration

English proficiency

Tools

Apache Airflow

Python

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.