Software Engineer (Apache Airflow) - Remote Work

BairesDev; Brasil; Remote; BRL 180,000 - 280,000; Full time

Benefits offered by this job

Remote work

Competitive pay (USD or local currency

Home office setup

Flexible hours

Paid parental leave

Mentorship & growth

Job summary

BairesDev is seeking a Software Engineer specializing in Apache Airflow to build scalable data pipelines and manage orchestration across our data platforms.

You will design DAGs, optimize workflows, and collaborate with data engineers to translate business needs into automated pipelines. Strong Python skills and English proficiency are essential for success in a fully remote, globally distributed team.

Qualifications

• 4+ years of experience in Data/Software Engineering focused on data orchestration.
• Proven expertise in building scalable data pipelines with Apache Airflow.
• Strong Python programming for data workflow automation.

Responsibilities

• Design, develop, and maintain DAGs to orchestrate data movement and transformation.
• Manage task dependencies and scheduling logic for timely data processing.
• Monitor workflow execution and implement proactive alerting for failures.
• Optimize Airflow infrastructure and operator configurations for scale.
• Collaborate with data engineers to translate requirements into workflows.
• Apply best practices for version control, testing, and deployment of code.

Skills

Python

Airflow

Data orchestration

DAGs design

English

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.

Software Engineer (Apache Airflow) at BairesDev

As a Software Engineer specializing in Apache Airflow, you will build and manage complex data pipeline orchestration to ensure reliable data delivery. You will work at the intersection of data engineering and automation, designing scalable workflows that power the organization's data-driven decision‑making.

What You'll Do:

• Design, develop, and maintain complex Directed Acyclic Graphs (DAGs) to orchestrate data movement and transformation.
• Manage task dependencies and scheduling logic to ensure timely and accurate data processing across various systems.
• Monitor workflow execution and implement proactive alerting to identify and resolve pipeline failures or performance bottlenecks.
• Optimize Airflow infrastructure and operator configurations to handle increasing data volumes and concurrency requirements.
• Collaborate with data engineers and analysts to translate business requirements into efficient automated workflows.
• Implement best practices for version control, testing, and deployment of orchestration code using Python.

What we are looking for:

• 4+ years of experience in Data Engineering, Software Engineering, or a related field with a focus on data orchestration.
• Proven expertise in building and managing scalable data pipeline orchestration using Apache Airflow.
• Proficiency in designing and developing complex DAGs and effectively handling task dependencies.
• Strong background in Python programming specifically for data workflow automation and orchestration.
• Hands‑on experience monitoring workflow execution and troubleshooting pipeline performance issues.
• 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.