FinOps Data Engineer

FinOps Data Engineer1<p><span><b>Job Title:</b> FinOps Data Engineer<br><b>Location:</b> LATAM (Remote)<br><b>Timezone Requirement:</b> CST (Central Standard Time overlap required)<br><b>Role Summary</b><br>We are seeking a FinOps Data Engineer to design, build, and optimize scalable data pipelines that support cloud financial operations (FinOps). This role focuses on enabling cost transparency, usage optimization, and financial accountability across multi-cloud environments by leveraging robust data engineering practices.<br><b>Key Responsibilities</b></span></p><ul><li><span>Design, develop, and maintain scalable <b>ELT/ETL data pipelines</b> for cloud cost and usage data.</span></li><li><span>Build and optimize <b>data models and schemas</b> to support FinOps reporting, forecasting, and analytics.</span></li><li><span>Process and analyze large-scale datasets (not spreadsheet-based) for accurate financial insights.</span></li><li><span>Integrate data from multiple sources including cloud providers, billing systems, and REST APIs.</span></li><li><span>Implement workflow orchestration using <b>dbt, Airflow, or Dagster</b>.</span></li><li><span>Ensure <b>data quality, validation, and auditing</b> across end-to-end pipelines.</span></li><li><span>Collaborate with FinOps, Finance, and Engineering teams to deliver actionable cost insights.</span></li><li><span>Optimize data pipelines for performance, scalability, and maintainability.</span></li><li><span>Implement and maintain <b>CI/CD pipelines</b> and <b>Infrastructure as Code (Terraform)</b>.</span></li><li><span>Monitor data systems using tools like <b>Datadog</b> and troubleshoot issues proactively.</span></li><li><span>Support multi-cloud environments including <b>AWS and GCP</b>.</span></li></ul><p><span><b>Required Skills & Qualifications</b></span></p><ul><li><span>Proven experience in <b>FinOps, Cloud Engineering, or Data Engineering</b> roles.</span></li><li><span>Strong programming skills in <b>SQL, Python, and Scala</b>.</span></li><li><span>Hands-on experience with workflow orchestration tools: <b>dbt, Airflow, Dagster</b>.</span></li><li><span>Experience building and maintaining <b>end-to-end ELT/ETL pipelines</b>.</span></li><li><span>Strong understanding of <b>data modeling, schema design, and data lifecycle management</b>.</span></li><li><span>Experience with:</span></li><li><span><b>AWS Glue, Aurora, Athena</b></span></li><li><span><b>Snowflake</b></span></li><li><span>Experience working with <b>large-scale databases</b> (non-spreadsheet environments).</span></li><li><span>Familiarity with <b>REST API development and integration</b>.</span></li><li><span>Experience with <b>CI/CD practices</b> and <b>Terraform (IaC)</b>.</span></li><li><span>Hands-on experience with <b>AWS, GCP, and Datadog</b> platforms.</span></li><li><span>Strong analytical thinking and attention to detail, especially in <b>data validation and auditing</b>.</span></li></ul><p><span><b>Preferred Qualifications</b></span></p><ul><li><span><b>FinOps Practitioner or FinOps Engineer certification</b>.</span></li><li><span>Experience in cloud cost optimization and financial governance.</span></li><li><span>Exposure to billing systems, finance, or revenue operations.</span></li></ul><p><span><b>Key Competencies</b></span></p><ul><li><span>Strong problem-solving and analytical skills</span></li><li><span>High attention to detail and data accuracy</span></li><li><span>Ability to work with large, complex datasets</span></li><li><span>Effective cross-functional collaboration</span></li></ul><p><br><span><b>Additional comment : </b><br>Indeed Req. ID 104802 : This role requires working with <b>large-scale data platforms and databases</b>, not spreadsheet-based tools like Google Sheets.</span></p>