1990 Senior Data Engineer, Cloud Cost & Usage Platform

📌 Position: Senior Data Engineer (Cloud FinOps)
Location: Remote from LATAM
Contract Type: Full-time vendor (via https://inallmedia.com/)
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.

🚀 Project Overview

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.

🔍 Key Responsibilities

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

💡 Must-Have Skills

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

🌟 Nice-to-Have Skills

• Languages: Proficiency in Scala is a plus.
• Certifications: FinOps Foundation Certification (Practitioner or Engineer level).
• Domain Expertise: Experience with cloud cost optimization, tagging strategies, cost monitoring, and a background in data platform or shared infrastructure engineering.
• Multi-Cloud & Monitoring: Familiarity with both AWS and GCP, alongside experience using Datadog.

🌐 Time Zone & Collaboration

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.

💬 Language

All interviews, documentation, and daily communication will be conducted in English.