Lead Data Engineer (Snowflake) - Remote Work

BairesDev

United States

Remote

MXN 2,202,000 - 3,303,000

Full time

20 hours ago
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Benefits offered by this job

100% remote work
USD or local currency compensation
Hardware and software setup for work
Flexible hours
Parental leaves and vacations

Job summary

BairesDev is seeking a Lead Data Engineer (Snowflake) to design, build, and optimize scalable data pipelines for analytics. You will leverage Python and GCP services to deliver reliable streaming and batch processing across enterprise environments.

Collaborate with product and engineering teams to ensure data quality, modeling, and efficient ETL/ELT workflows with Airflow/Cloud Composer. This is 100% remote with flexible hours and USD or local currency compensation, plus ongoing growth

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
GCP
Data pipelines
ETL/ELT design
Data modeling
English proficiency

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.
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