Senior Data Engineer (GCP, Python) - Remote Work

BairesDev; United States; Remote; CLP 107,632,000 - 156,556,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Paid parental leave

Mentorship

Job summary

BairesDev is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines in a modern cloud environment. You will drive scalable streaming and batch processing, ensuring data availability for enterprise analytics.

The role requires strong Python and GCP experience, including BigQuery, Dataflow, and Pub/Sub, plus Airflow-based orchestration. This is a 100% remote position with competitive USD compensation and flexible hours.

Qualifications

• 5+ years of experience in Data Engineering or related field.
• Strong hands-on experience with Python and GCP services (BigQuery, Dataflow, Pub/Sub).
• Proven expertise in designing streaming data pipelines and robust ETL/ELT workflows.
• Solid understanding of workflow orchestration with Airflow/Cloud Composer and analytics data modeling.
• Advanced proficiency in English.

Responsibilities

• Design, implement, and maintain scalable batch and streaming data pipelines.
• Architect and optimize robust ETL/ELT workflows using cloud-native services and orchestrators.
• Develop and optimize data models for downstream analytics use cases.
• Collaborate with product and engineering teams to integrate datasets and ensure data quality.
• Monitor, troubleshoot, and improve pipeline performance for efficiency and reliability.

Skills

Python

GCP

BigQuery

Dataflow

Pub/Sub

Airflow

Data modeling

SQL

English

Tools

Apache Airflow

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.

Senior Data Engineer (GCP, Python) at BairesDev

As a Senior Data Engineer (GCP, Python), you will design, build, and optimize robust data pipelines to support enterprise-scale analytics. You will drive the development of scalable streaming and batch data processing solutions, ensuring seamless integration and data availability across the modern cloud environment.

What You'll Do:

• - Design, implement, and maintain highly scalable batch and streaming data pipelines.
• - Architect and optimize robust ETL/ELT workflows utilizing cloud-native services and orchestrators.
• - Develop and optimize high-performance data models tailored for downstream analytical use cases.
• - Collaborate with product and engineering teams to integrate diverse datasets and establish data quality standards.
• - Monitor, troubleshoot, and continuously improve pipeline performance to guarantee efficiency and reliability.

What we are looking for:

• - 5+ years of experience in Data Engineering, Software Engineering, or a related field.
• - Strong hands-on experience with Python and GCP services like BigQuery, Dataflow, and Pub/Sub.
• - Proven expertise in designing streaming data pipelines and robust ETL/ELT workflows.
• - Solid understanding of workflow orchestration with Apache Airflow or Cloud Composer and data modeling for analytics.
• - 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.