Lead Data Engineer (Snowflake) - Remote Work

BairesDev; Venezuela; Remote; VES 78,809,000 - 113,835,000; Full time

Benefits offered by this job

100% remote work

USD or local currency compensation

Hardware provided

Flexible hours

Paid leave & holidays

Mentorship & growth opportunities

Job summary

BairesDev in Venezuela is seeking a Lead Data Engineer (Snowflake) with Senior-level experience in GCP and Python to design, build, and optimize robust data pipelines for enterprise analytics.

You will collaborate with product and engineering teams to deliver scalable ETL/ELT workflows, data models for analytics, and reliable streaming solutions, all while enjoying a 100% remote setup and flexible hours.

Qualifications

• 5+ years in Data or Software Engineering.
• Hands-on Python and GCP experience.
• Experience designing streaming pipelines and ETL/ELT workflows.
• Strong English communication.

Responsibilities

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

Skills

Python

GCP

Data modeling

ETL/ELT

Airflow

Tools

BigQuery

Dataflow

Pub/Sub

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.