Lead Data Engineer (Snowflake) - Remote Work

BairesDev; United States; Remote; CLP 88,670,000 - 128,079,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Home office setup provided

Flexible hours

Job summary

BairesDev seeks a Lead Data Engineer (Snowflake) to design and optimize enterprise-scale analytics pipelines in a 100% remote role.

You will work with Python and GCP services (BigQuery, Dataflow, Pub/Sub) to build scalable streaming and batch pipelines, and collaborate across product and engineering teams to ensure data quality and availability.

A strong background in analytics data modeling and Airflow/Composer is valued, with excellent English communication and a proactive cloud mindset.

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 designing streaming data pipelines and robust ETL/ELT workflows.

Responsibilities

• Design, implement, and maintain scalable batch and streaming data pipelines.
• Architect and optimize ETL/ELT workflows using cloud-native services and orchestrators.
• Develop high-performance data models for downstream analytics and integrate diverse datasets.

Skills

Data Engineering

Python

GCP

Tools

BigQuery

Dataflow

Pub/Sub

Airflow/Cloud Composer

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.

Lead Data Engineer (Snowflake) 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.