Lead Data Engineer (Snowflake) - Remote Work

BairesDev; Colombia; Remote; COP 323,646,000 - 453,104,000; Full time

Benefits offered by this job

Remote work

USD or local currency payment

Hardware provided

Flexible hours

Parental leave

Career growth & mentorship

Job summary

BairesDev is looking for a Lead Data Engineer (Snowflake) to design, build, and optimize scalable data pipelines for enterprise analytics. You will drive streaming and batch processing with Python and GCP services, and craft data models for downstream use cases.

Work will be performed remotely in a globally distributed team, with excellent USD or local currency compensation, flexible hours, and strong opportunities for career growth and mentorship.

Qualifications

• 5+ years of experience in Data Engineering or related field.
• Strong Python and GCP experience with BigQuery, Dataflow and Pub/Sub.
• Proven expertise in designing streaming data pipelines and ETL/ELT workflows.

Responsibilities

• Design, build, and optimize scalable batch and streaming data pipelines.
• Architect ETL/ELT workflows using cloud-native services and orchestrators.
• Develop data models for analytics and collaborate with teams to ensure data quality.
• Monitor and optimize pipeline performance for reliability and efficiency.

Skills

Python

GCP

ETL/ELT pipelines

Data modeling

Airflow

Data engineering

Tools

BigQuery

Dataflow

Pub/Sub

Airflow / Cloud Composer

Snowflake

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.