Data Engineer (dbt) - Remote Work

BairesDev

Santander

A distancia

COP 291.290.000 - 420.753.000

Jornada completa

hace 2 horas
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Ventajas ofrecidas por este puesto de trabajo

100% remote
USD or local currency compensation
Hardware and software provided
Flexible hours
Paid parental leave and holidays
Mentorship and growth opportunities

Descripción de la vacante

BairesDev is seeking a Data Engineer (dbt) to design and optimize data transformation workflows across cloud data warehouses. You will build modular data models using star and snowflake schemas and write high-performance SQL.

You'll collaborate with stakeholders to enforce data quality, apply software engineering practices, and ensure data reliability, freshness, and scalability for global projects, with 100% remote work and competitive USD-based compensation.

Formación

  • 4+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering.
  • Proven expertise with dbt (Core or Cloud).
  • Advanced SQL skills for complex query development.
  • Experience with Snowflake/BigQuery/Redshift.
  • Advanced English.

Responsabilidades

  • Design, implement, and maintain data transformation workflows using dbt.
  • Develop modular data models with star and snowflake schemas.
  • Write and tune advanced SQL queries for efficient processing.
  • Apply software engineering best practices to analytics workflows.
  • Collaborate with stakeholders to define data quality standards and tests.
  • Monitor pipeline performance for reliability, freshness, and scalability.

Conocimientos

dbt
SQL
Data modeling
Cloud data warehouses
English

Herramientas

Snowflake
BigQuery
Redshift

Descripción del empleo

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 (dbt) at BairesDev

What You'll Do:
  • Design, implement, and maintain robust data transformation workflows using dbt to process large-scale datasets.
  • Develop and optimize modular data models using star and snowflake schemas to support complex analytical requirements.
  • Write and tune advanced SQL queries to ensure efficient data processing and leverage cloud data warehouse capabilities.
  • Apply software engineering best practices to the analytics workflow, including version control and documentation.
  • Collaborate with stakeholders to define data quality standards and implement automated tests within the transformation layer.
  • Monitor and optimize pipeline performance to ensure data reliability, freshness, and scalability across the organization.
What we are looking for:
  • 4+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering.
  • Proven expertise in building and optimizing data transformations using dbt (Core or Cloud).
  • Advanced proficiency in SQL for complex query development and performance tuning.
  • Strong experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Solid understanding of data modeling principles, including star and snowflake schemas.
  • 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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