Data Engineer (Snowflake) - Remote Work

BairesDev; United States; Remote; CLP 118,694,000 - 158,259,000; Full time

Benefits offered by this job

Remote work

USD or local currency compensation

Home office setup

Flexible hours

Paid parental leaves & vacations

Growth & mentorship

Job summary

BairesDev is seeking a Data Engineer (Snowflake) to design and build scalable ELT pipelines and data models in the Snowflake Data Cloud. You will bridge raw data sources and actionable insights for high-performance analytics.

Join a global, fully remote team and contribute to modern data stack initiatives while collaborating with stakeholders to define data requirements and quality standards.

Qualifications

• 4+ years of experience in Data Engineering on the modern data stack.
• Proven expertise with Snowflake ELT pipelines and data models.
• Experience using dbt for data transformation and managing complex models.
• Hands-on with Apache Airflow for orchestration.
• Advanced SQL querying for data extraction.
• Strong English communication skills.

Responsibilities

• Design, implement, and optimize robust ELT workflows using Snowflake and dbt.
• Develop and maintain modular data models with best practices.
• Orchestrate complex pipeline dependencies with Airflow.
• Write high-performance SQL queries for Snowflake analytics.
• Collaborate with stakeholders on data requirements and schemas.
• Monitor and improve pipeline health and data freshness.

Skills

SQL

Data modeling

Data pipeline design

English

Tools

Snowflake

dbt

Apache Airflow

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.

Data Engineer (Snowflake) at BairesDev

As a Data Engineer (Snowflake), you will design and build scalable ELT pipelines and data models within the Snowflake Data Cloud. You will act as a link between raw data sources and actionable business insights, ensuring that data is transformed and organized efficiently for high-performance analytics.

What You'll Do:

• Design, implement, and optimize robust ELT workflows using Snowflake and dbt to process large-scale datasets.
• Develop and maintain modular data models, applying software engineering best practices such as version control and automated testing.
• Orchestrate complex data pipeline dependencies and schedules using Apache Airflow to ensure data freshness and reliability.
• Write and tune high-performance SQL queries and transformations to leverage Snowflake's unique architectural capabilities.
• Collaborate with stakeholders to define data requirements, schema designs, and quality standards for the modern data stack.
• Monitor pipeline health and performance, identifying and resolving bottlenecks to ensure continuous data delivery.

What we are looking for:

• 4+ years of experience in Data Engineering with a focus on the modern data stack.
• Proven expertise in building and optimizing ELT pipelines and data models using Snowflake.
• Proficiency in using dbt for data transformation and managing complex data models.
• Hands-on experience with Apache Airflow for workflow orchestration and pipeline management.
• Advanced proficiency in writing and optimizing complex SQL queries for data extraction.
• 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.