#126292 - Senior FinOps Data Engineer

About this role

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.