📌 Position: Senior Data Engineer, Cloud Economics
Location: Remote from LATAM
Contract Type: Full-time vendor (via https://inallmedia.com/)
Time Zone Alignment: CT ±2
Experience Level: 5+ years in Data Engineering
🧭 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.
This is a data platform role at its core. If you have built large-scale pipelines on AWS and want to apply that to a problem with direct, measurable business impact, you will find plenty to work on here.
🔍 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 hands-on experience with a modern cloud data warehouse (Snowflake or Databricks).
- 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, AWS Lambda, and Step Functions.
- 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
- Domain Exposure: Any experience with cloud cost optimization, tagging strategies, cost monitoring, or billing data pipelines (AWS Cost and Usage Report, FOCUS, cost allocation, chargeback, showback).
- Certifications: FinOps Foundation Certification (Practitioner or Engineer level).
- Lakehouse & Architecture: Apache Iceberg, Delta Lake, medallion architecture, or a background in data platform or shared infrastructure engineering.
- Languages: Proficiency in Scala is a plus.
- Multi-Cloud & Monitoring: Familiarity with both AWS and GCP, alongside experience using Datadog.
- Background: Academic or professional experience in Economics, Finance, or Econometrics.
✅ A NOTE ON FINOPS EXPERIENCE
We are looking for a strong data engineer first. The cloud cost domain is learnable on the job, and the team will support you in picking it up. If you have ever tuned a warehouse, optimized compute spend, or investigated an unexpected infrastructure bill, you already have useful context.
Please do not filter yourself out of this one.
🌐 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.
#LI
Skills Required
- Strong experience in Data Engineering, Cloud Engineering, or FinOps with focus on cloud cost optimization
- Advanced proficiency in SQL
- Advanced proficiency in Python
- Advanced proficiency in Scala
- Experience with orchestration tools such as dbt, Airflow, or Dagster
- Deep hands-on experience with cloud platforms, especially AWS (Glue, Aurora, Athena)
- Experience with GCP
- Experience with Snowflake
- Experience implementing Infrastructure as Code using Terraform
- Experience working with CI/CD pipelines
- Experience building and consuming REST APIs for data ingestion
- Proven experience with Datadog for infrastructure and cost monitoring
- Experience working in Agile teams and remote environments
- Fluent English for daily communication
- Availability to overlap several hours with Central Time (CT ±2)
- Experience with discount modeling strategies such as Reserved Instances and Savings Plan
- Background in building advanced analytics dashboards for predictive cloud cost optimization
- Experience querying and optimizing large-scale data warehouses
- Exposure to financial modeling concepts related to unit economics in cloud environments
- FinOps Practitioner or FinOps Engineer certification
What We Do
In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries. We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality. At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution. Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies. Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout. This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients. We're hiring! Email us your CV: [email protected] Contact Us: [email protected]
