Senior Data Engineer, Cloud FinOps

🕒 July 10

🌐 Brazil, Argentina, +3 more countries – Remote

🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇪🇨 Ecuador – Remote 🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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In All Media

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Design, build, and maintain the Cloud Economics team's data pipelines, automation systems, and datasets that power cloud cost visibility, attribution, and insights. • Design and implement highly scalable data models and ingestion frameworks to support large-scale telemetry and usage data. • Develop specialized tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders. • Optimize data systems for performance, reliability, and cost-efficiency (including query tuning, storage strategies, and compute optimization). • Partner directly with Engineering and Finance teams to support cost-optimization initiatives and usage-based insights. • Ensure rigorous data quality, validation, auditing, and troubleshooting protocols across all end-to-end production data workflows.

🎯 Requirements

• Strong Data Engineering background with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments. • Strong SQL and Python skills, alongside direct experience with Snowflake. • Direct experience with orchestration tools such as dbt, Airflow, or Dagster. • Deep familiarity with the AWS data ecosystem, including AWS Glue, Amazon Athena, and Amazon Aurora. • Solid experience with CI/CD, version control, Infrastructure as Code (IaC) via Terraform, and building REST API integrations. • Extensive data modeling and large-scale data processing experience. • Fluent English for daily communication.

🏖️ Benefits

• Remote from LATAM