Senior Data Engineer (GCP, Python) - Remote Work

BairesDev; Chile; A distancia; CLP 115.607.000 - 173.410.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive compensation in USD

Home-office setup

Flexible hours

Parental leave

Descripción de la vacante

BairesDev is seeking a Senior Data Engineer (GCP, Python) to design, build, and optimize data pipelines for enterprise-scale analytics. This remote role offers competitive compensation in USD or local currency.

You will collaborate with product and engineering teams to integrate diverse datasets, implement streaming and batch processing, and ensure data quality across cloud services.

Join a diverse, tech-driven environment that values growth, mentorship, and flexible hours.

Formación

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

Responsabilidades

• 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.

Conocimientos

Python

GCP

BigQuery

Dataflow

Pub/Sub

Airflow

Data modeling

5+ years experience

English

Descripción del empleo

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.