Senior Data Engineer (Americas)

Jobgether; Colombia; A distancia; COP 448.688.449 - 548.396.993; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary starting at $130,000 USD

100% coverage of medical, dental, vision, and mental health insurance

16 weeks paid parental leave

Unlimited PTO

Stipends for remote work and wellness

Descripción de la vacante

A technology company is seeking a Senior Data Engineer to build and maintain robust data platforms supporting analytics and data science teams in Colombia. The ideal candidate will have 3-5 years of experience and proficiency in SQL, dbt, and Python, along with expertise in data modeling and ETL tools. This remote-friendly role offers a competitive salary starting at $130,000 USD and comprehensive benefits including health insurance and unlimited PTO.

Formación

• 3-5 years of hands-on experience as a Data Engineer or Analytics Engineer.
• Advanced proficiency in SQL, dbt, and Python.
• Experience with cloud data warehouses such as Snowflake.

Responsabilidades

• Build and evolve semantic layers and dbt models.
• Develop and manage ETL/orchestration pipelines.
• Collaborate with data analysts, scientists, and stakeholders.

Conocimientos

SQL

dbt

Python

ETL tools (Fivetran, Stitch, Airflow)

Data modeling

Herramientas

Snowflake

GCP

Terraform

Descripción del empleo

Senior Data Engineer – Americas

We are looking for a Senior Data Engineer to build and maintain a robust data platform that empowers analytics, business intelligence, and data science teams. You will design and optimize data models, ETL pipelines, and semantic layers, ensuring high‑quality, reliable, and scalable data flows. The role offers a hands‑on environment and collaboration across product, engineering, and operations teams.

Responsibilities

• Build, maintain, and evolve the semantic layer, creating well‑documented dbt models to support trusted business metrics and self‑service analytics.
• Develop and manage ETL/orchestration pipelines using tools such as Fivetran, Stitch, dbt Cloud, or Airflow to ensure reliable and scalable data flow.
• Collaborate closely with data analysts, data scientists, and business stakeholders to enable high‑quality, AI‑ready data access.
• Continuously improve model performance, optimize costs, maintain documentation, and enhance governance practices.
• Contribute to the design and development of a modern analytics stack that supports current reporting needs and future machine‑learning applications.
• Support cross‑functional teams by delivering reliable, scalable, and efficient data solutions aligned with organizational goals.

Requirements

• 3‑5 years of hands‑on experience as a Data Engineer or Analytics Engineer in fast‑paced environments.
• Advanced proficiency in SQL, dbt, and Python.
• Experience with cloud data warehouses such as Snowflake (or similar).
• Familiarity with ETL/orchestration tools like Fivetran, Stitch, or Airflow.
• Proven ability to collaborate with analytics, product, and data science teams on shared modeling and enablement goals.
• Strong problem‑solving skills with the ability to balance pragmatism and technical rigor.
• Remote‑friendly, based in the Americas; experience in GCP or Terraform is a plus.

Benefits

• Competitive salary starting at $130,000 USD (or local equivalent), depending on experience.
• 100 % coverage of medical, dental, vision, mental health, and supplemental insurance for you and your family.
• 16 weeks paid parental leave and unlimited PTO.
• Stipends for remote work, wellness, and professional development.
• Inclusive, collaborative work environment focused on growth, continuous learning, and innovation.
• Opportunity to work with modern analytics technologies and shape the company's data infrastructure.