Remote Data Engineer: Cloud Cost & Analytics (Contract)

Lifted, an Upwork Company™

Santiago

Presencial

CLP 25.000.000 - 42.000.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Lifted, an Upwork Company™, is seeking a Data Engineer to design, build, and maintain scalable data pipelines and automation systems that support cloud cost visibility and performance insights. You will work with large-scale telemetry, usage, and financial data to empower Product, Engineering, and Finance teams to make cost-aware decisions.

The role emphasizes hands-on cloud data engineering with AWS, Snowflake, and data quality ownership.

Formación

  • Strong data engineering foundation with end-to-end ELT/ETL pipelines in cloud environments.
  • Strong SQL and Python skills.
  • Experience with data workflow/orchestration tools such as dbt, Airflow, or Dagster.
  • Hands-on AWS data ecosystem experience (Glue, Athena, Aurora).
  • Experience with Snowflake.
  • Experience processing data at scale.
  • Experience with CI/CD and version control.
  • Infrastructure as Code using Terraform.
  • Experience building/rest API integrations.
  • Ability to optimize pipelines for performance and cost.
  • Strong analytical and troubleshooting skills.
  • Experience with data validation and production pipeline support.
  • Enterprise experience strongly preferred.

Responsabilidades

  • Design, build, and maintain end-to-end ELT/ETL pipelines in cloud environments.
  • Build scalable datasets for cost visibility, attribution, usage analysis, and performance insights.
  • Design data models and ingestion frameworks for telemetry and usage data.
  • Develop automation and tooling to enable cost-aware decision-making across teams.
  • Optimize pipelines for performance, reliability, and cost efficiency.
  • Perform query tuning and storage/compute strategy improvements.
  • Build and maintain REST API integrations.
  • Implement and support CI/CD and Infrastructure as Code.
  • Ensure data quality, validation, auditability, and consistency across workflows.
  • Monitor and resolve production pipeline issues and data inconsistencies.
  • Collaborate with Eng and Finance on cost optimization and insights.

Conocimientos

SQL
Python
dbt
Airflow
Dagster
AWS
Snowflake
Terraform
CI/CD
REST APIs
Data Quality
Auditing
Production Support

Herramientas

AWS Glue
Amazon Athena
Amazon Aurora

Descripción del empleo

Lifted, an Upwork Company™, is seeking a Data Engineer to design, build, and maintain scalable data pipelines and automation systems that support cloud cost visibility and performance insights. You will work with large-scale telemetry, usage, and financial data to empower Product, Engineering, and Finance teams to make cost-aware decisions.

The role emphasizes hands-on cloud data engineering with AWS, Snowflake, and data quality ownership.

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