We are seeking a Senior FinOps Data Engineer to design, build, and maintain the data ingestion, automation, and analytical platforms that support cloud cost transparency, attribution, and optimization.This role will work with large-scale billing, usage, telemetry, performance, and financial data. The work will enable Product, Engineering, Analytics, and Finance stakeholders to make faster, data-driven decisions and trust the underlying data. The adecuado candidate is a current, hands-on data engineer who can build production data pipelines and cost-focused data products, improve their long-term maintainability, and clearly explain their technical decisions to both technical and non-technical audiences.Key Responsibilities- - Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments.- - Develop tooling and datasets for telemetry-driven cost attribution and performance-informed financial modeling.- - Build and maintain pipelines and automation that provide cloud cost transparency, identify optimization opportunities, and support committed-use discount modeling and management.- - Ingest and reconcile large-scale billing, usage, telemetry, and performance data from cloud platforms, APIs, and other sources.- - Design and mature data models, schemas, and ingestion frameworks that support reliable downstream analysis and reporting.- - Improve the maintainability, scalability, observability, and reliability of production data workflows.- - Implement comprehensive data auditing, validation, reconciliation, and end-to-end quality controls.- - Build and maintain REST API integrations and infrastructure automation.- - Support CI/CD development processes and Infrastructure as Code using Terraform.- - Troubleshoot production pipeline failures, data inconsistencies, and performance issues.- - Partner with Product,



Engineering, Analytics, and Finance stakeholders to translate technical data into clear, actionable insights.QualificationsMust-Have Skills- - Hands-on experience with SQL, Python, Spark, and Scala.- - Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.- - Hands-on AWS experience, including AWS Glue, Amazon Aurora, and Amazon Athena. AWS experience is required.- - Hands-on experience with GCP and Snowflake.- - Experience architecting and improving the long-term maintainability of end-to-end ELT and ETL data pipelines.- - Experience processing, validating, and auditing data at scale.- - Exposure to CI/CD development processes and version control.- - Infrastructure as Code experience using Terraform.- - REST API programming and data-integration experience.- - Strong attention to detail, analytical ability, and production troubleshooting skills.- - Ability to explain technical concepts and personally delivered work clearly to non-technical audiences.Nice-to-Have Skills- - Experience working with FinOps teams or performing cloud cost-optimization duties.- - FinOps Certified Practitioner or FinOps Certified Engineer certification.- - Experience working with Datadog API endpoints.- - Experience with Go.Additional InformationRequired Tools and Platforms- - SQL- - Python- - Spark- - Scala- - AWS Glue- - Amazon Aurora- - Amazon Athena- - GCP- - Snowflake- - dbt, Airflow, and/or Dagster- - Terraform- - CI/CD tooling- - Git or another version-control platform- - REST APIsLocation, Schedule, and Engagement- - Remote contract opportunity.- - Candidates must be located in LATAM.- - Full-time allocation of approximately 40 hours per week.- - Candidates must be available to work a U.S.-based EST or CST schedule.- - The contract is expected to continue through March 31, 2027.#J-18808-Ljbffr

📌 126292 - Senior Finops Data Engineer (Bogotá)
🏢 SmartRecruiters
📍 Bogotá