Senior Analytics Engineer: Build Scalable Data Pipelines

Newsela Inc.

Argentina

A distancia

ARS 1.200.000 - 1.800.000

Jornada completa

14 días+

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Descripción de la vacante

Newsela Inc. is seeking an experienced Data Engineer to shape our data ecosystem by building robust pipelines and applying software engineering principles. You will collaborate with stakeholders to drive data-driven decisions, lead high-impact initiatives, and manage scalable analytics infrastructure.

The role emphasizes data modeling, quality testing, and automation across ETL/ELT processes. You will work with cloud-based data tools and modern orchestration frameworks to deliver reliable

Formación

  • Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and data integrity testing frameworks.

Responsabilidades

  • Build new analyses and support existing ones using SQL and Python.
  • Apply software engineering principles like version control and continuous integration to the analytics codebase.
  • Expand our data warehouse with clean data ready for analysis.
  • Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
  • Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.
  • Work with stakeholders to define business logic and data expectations.
  • Help drive a change in the usage of data by actively surfacing insights to stakeholders.
  • Lead initiatives and problem definition, scoping, design, and planning.
  • Build tools and automation to run data infrastructure.
  • Manage large-scale data migrations in relational datastores.

Conocimientos

SQL
Python
Data modeling
Data quality testing
CI/CD
Stakeholder collaboration
dbt orchestration
Dagster or Airflow
Tableau
Terraform

Herramientas

Dagster
Airflow
dbt
Tableau
Terraform

Descripción del empleo

Newsela Inc. is seeking an experienced Data Engineer to shape our data ecosystem by building robust pipelines and applying software engineering principles. You will collaborate with stakeholders to drive data-driven decisions, lead high-impact initiatives, and manage scalable analytics infrastructure.

The role emphasizes data modeling, quality testing, and automation across ETL/ELT processes. You will work with cloud-based data tools and modern orchestration frameworks to deliver reliable

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