Remote Snowflake Data Engineer — Part-Time, LATAM Overlap

ITH.

United States

À distance

USD 55 000 - 96 000

Temps partiel

Il y a 3 jours
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Résumé du poste

IT Tech Hub is seeking a Data Engineer for a US-based client, offering a remote, part-time contractor role designed for professionals based in Latin America. The position requires overlap with Pacific/Mountain Time zones and an initial 3-month engagement with potential extension.

You will design and maintain Snowflake pipelines, develop data models with Coalesce and dbt, and ensure data quality across workflows while collaborating with stakeholders in a distributed team.

Qualifications

  • Proven experience as a Data Engineer or Analytics Engineer.
  • Advanced SQL skills and strong understanding of data modeling concepts.
  • Experience building and maintaining ELT/ETL processes.
  • Ability to work independently and communicate effectively in English.

Responsabilités

  • Design, build, and maintain data pipelines and transformation workflows in Snowflake.
  • Develop and optimize data models using Coalesce and dbt.
  • Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
  • Ensure data quality, reliability, and performance across data workflows.
  • Support ongoing enhancements and maintenance of the data platform.
  • Document data models, transformations, and best practices.
  • Work closely with cross-functional teams in a remote environment.

Connaissances

English communication
SQL
Data modeling
Independent worker

Outils

Snowflake
Coalesce
dbt

Description du poste

IT Tech Hub is seeking a Data Engineer for a US-based client, offering a remote, part-time contractor role designed for professionals based in Latin America. The position requires overlap with Pacific/Mountain Time zones and an initial 3-month engagement with potential extension.

You will design and maintain Snowflake pipelines, develop data models with Coalesce and dbt, and ensure data quality across workflows while collaborating with stakeholders in a distributed team.

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