Senior Data Engineer — Remote, AI-Ready Data Platform

AgileEngine, LLC.

Medellín

Presencial

COP 360.174.000 - 516.772.000

Jornada completa

Hace 11 días

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Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
Flexibility: 100% remote with flexible
Meaningful, modern projects
Collaborative culture
Well-being & support

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data Engineer to partner with an internal data team on a Customer Data Platform initiative. You will build Snowflake semantic structures, clean and transform customer datasets, and develop AI-ready data models.

Expect to write production-grade SQL and Python, maintain documentation, and collaborate with cross-functional stakeholders. Remote work with Eastern Time overlap preferred.

Formación

  • 4+ years writing complex, optimized SQL with window functions and semi-structured data
  • Strong Python for data manipulation, automation, API/file processing, and data quality checks
  • Hands-on experience in at least one major cloud data ecosystem (AWS, Snowflake, GCP, or Azure)
  • Strong communication with business partners to translate needs into specs
  • Rigorous documentation and code comment practices

Responsabilidades

  • Design and evolve Snowflake data models and semantic views for the CDP
  • Write production-grade SQL and Python for data transformation and wrangling
  • Collaborate with stakeholders to translate operational needs into technical specs
  • Parse and flatten semi-structured data (JSON, nested payloads) from cloud sources
  • Maintain data dictionaries, model descriptions, and documentation

Conocimientos

SQL
Python
Cloud platforms
Stakeholder communication
Documentation

Herramientas

Snowflake
AWS
S3
dbt
Airflow

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data Engineer to partner with an internal data team on a Customer Data Platform initiative. You will build Snowflake semantic structures, clean and transform customer datasets, and develop AI-ready data models.

Expect to write production-grade SQL and Python, maintain documentation, and collaborate with cross-functional stakeholders. Remote work with Eastern Time overlap preferred.

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