Job Description

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines, datasets, and automation systems that support cloud cost visibility, attribution, and performance insights.

Job Description

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines, datasets, and automation systems that support cloud cost visibility, attribution, and performance insights. This role will work with large-scale telemetry, usage, and financial data to help Product, Engineering, and Finance stakeholders make informed, cost-aware decisions. The adecuado candidate has strong hands‑on experience with cloud data engineering, AWS, Snowflake, production pipeline ownership, data quality, and performance and cost optimization.

Key Responsibilities
- Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments.
- Build scalable datasets that support cloud cost visibility, attribution, usage analysis, and performance insights.




- Design and implement data models and ingestion frameworks for large-scale telemetry and usage data.
- Develop automation and tooling that enable cost‑aware decision‑making across Product, Engineering, and Finance teams.
- Optimize data pipelines and systems for performance, reliability, and cost efficiency.
- Perform query tuning and improve storage and compute strategies.
- Build and maintain integrations with REST APIs and other data sources.
- Implement and support CI/CD processes and Infrastructure as Code.
- Ensure data quality, validation, auditability, and consistency across end-to-end data workflows.
- Monitor, troubleshoot, and resolve production pipeline failures, data inconsistencies, and performance issues.
- Partner with Engineering and Finance stakeholders on cloud cost optimization and usage‑based insights.

Qualifications

Must‑Have Skills
- Strong data engineering foundation with proven experience building and maintaining end-to-end ELT or ETL pipelines in cloud

📌 #126292 - Data Engineer (Bogotá, D.C.)
🏢 Upwork
📍 Bogotá, D.C.