Data engineer
Remoto LATAM
Esta vacante es 100% remota y está abierta a candidatos de cualquier país de LATAM (Argentina, Bolivia, Brasil, Chile, Colombia, México, Paraguay, Uruguay). Aunque la ficha menciona una ciudad, no es necesario residir allí: la empresa contrata desde toda la región.
Scale Army CareersAmérica Latina (Remoto)
85 personas interesadas en esta vacante
Sé uno de los primeros en postularte
SalarioSalario no especificado
Jornadacontract
Modalidadremote
Publicado15 sept
3+ años de experiencia
Acerca del puesto
The Data Engineer will help build and maintain reliable, analytics-ready data pipelines that power AI-driven forecasting and attribution intelligence products. This is a hands-on contract role focused on execution, quality, and collaboration across Analytics, Data Science, and Product teams. The Contract Data Engineer will work within a modern analytics engineering stack centered on Python, dbt, and Dagster, primarily supporting customer onboarding and reporting workflows.
Responsabilidades principales
Build and maintain scalable, fault-tolerant ELT pipelines using Python. Model clean, analytics-ready datasets for BI, forecasting, and ML feature consumption. Contribute to the refactoring and improvement of existing data workflows as product needs evolve. Develop and optimize dbt models. Build and maintain dbt tests and documentation. Follow analytics engineering best practices. Orchestrate and monitor workflows using Dagster. Monitor pipeline health using observability tools and metrics. Troubleshoot pipeline failures, performance issues, and data inconsistencies. Implement and maintain data quality checks. Develop and maintain testing strategies. Follow established team standards for SLAs, code quality, and deployments. Collaborate with Data Scientists to support forecasting and AI-driven use cases. Work cross-functionally with Product, Analytics, and Data Science teams. Work closely with clients to solve data issues.
Requisitos indispensables
3+ years of professional experience in data engineering or analytics engineering. Hands-on experience with dbt Core or Cloud. Hands-on experience with Dagster or similar orchestration tools. Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift. Experience working cross-functionally with Product, Analytics, or Data Science teams. Strong proficiency in Python, including tools such as pandas, SQLAlchemy, and psycopg2. Advanced SQL skills, including CTEs, window functions, and query optimization. Familiarity with modern ELT tools such as Airbyte, Fivetran, Meltano, or dltHub. Ability to troubleshoot pipeline failures, performance issues, and data inconsistencies. Ability to work closely with clients to solve data issues. Ability to work independently and deliver in a contract environment.
Condiciones laborales
9:00 AM - 5:00 PM EST
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