In All Media Inc

📌 Position: Senior Data Engineer (Cloud FinOps) Location: Remote from LATAM Contract Type: Full-time vendor (via <a href="https://inallmedia.com/" rel="nofollow noopener" target="_blank">https://inallmedia.com/</a>) Time Zone Alignment: CT ±2
🧭 About Inallmedia.com Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
<h3>🚀 Project Overview</h3>
You will join the Cloud Economics Team to focus on engineering scalable data infrastructure capable of processing high-volume telemetry and infrastructure usage metrics.
The ultimate goal of this project is to provide granular cost visibility, accurate spend attribution, and data-driven insights. This initiative directly empowers Product, Engineering, and Finance departments to optimize cloud infrastructure costs, driving maximum efficiency and performance across the business.
<h3>🔍 Key Responsibilities</h3>
<ul>
<li>Pipeline Design &amp; Maintenance: Design, build, and maintain the Cloud Economics team's data pipelines, automation systems, and datasets that power cloud cost visibility, attribution, and insights.</li>
<li>Data Modeling &amp; Ingestion: Design and implement highly scalable data models and ingestion frameworks to support large-scale telemetry and usage data.</li>
<li>Tooling Development: Develop specialized tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders.</li>
<li>System Optimization: Optimize data systems for performance, reliability, and cost-efficiency (including query tuning, storage strategies, and compute optimization).</li>
<li>Cross-Functional Collaboration: Partner directly with Engineering and Finance teams to support cost-optimization initiatives and usage-based insights.</li>
<li>Data Governance: Ensure rigorous data quality, validation, auditing, and troubleshooting protocols across all end-to-end production data workflows.</li>
</ul>
<h3>💡 Must-Have Skills</h3>
<ul>
<li>Core Engineering Foundation: Strong Data Engineering background with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments.</li>
<li>Programming &amp; Databases: Strong SQL and Python skills, alongside direct experience with Snowflake.</li>
<li>Orchestration Tools: Direct experience with orchestration tools such as dbt, Airflow, or Dagster.</li>
<li>AWS Ecosystem: Deep familiarity with the AWS data ecosystem, including AWS Glue, Amazon Athena, and Amazon Aurora.</li>
<li>DevOps &amp; Infrastructure: Solid experience with CI/CD, version control, Infrastructure as Code (IaC) via Terraform, and building REST API integrations.</li>
<li>Data Architecture: Extensive data modeling and large-scale data processing experience.</li>
<li>Language: Fluent English for daily communication.</li>
</ul>
<h3>🌟 Nice-to-Have Skills</h3>
<ul>
<li>Languages: Proficiency in Scala is a plus.</li>
<li>Certifications: FinOps Foundation Certification (Practitioner or Engineer level).</li>
<li>Domain Expertise: Experience with cloud cost optimization, tagging strategies, cost monitoring, and a background in data platform or shared infrastructure engineering.</li>
<li>Multi-Cloud &amp; Monitoring: Familiarity with both AWS and GCP, alongside experience using Datadog.</li>
</ul>
<h3>🌐 Time Zone &amp; Collaboration</h3>
The role requires collaboration with teams aligned to the Central Time (CT) zone. Candidates should be available to overlap several hours with US-based teams.
<h3>💬 Language</h3>
All interviews, documentation, and daily communication will be conducted in English.

1990 Senior Data Engineer, Cloud Cost & Usage Platform

1990 Senior Data Engineer, Cloud Cost & Usage Platform

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