#126292 - Senior FinOps Data Engineer

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 ideal 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. Must-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. • Strong data modeling experience, including schema design and schema maturity. • 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. Required 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 APIs Location, 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. Originally posted on Himalayas