#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
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- Design, build, and maintain reliable end-to-end ELT and ETL pipelines in cloud environments.
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- Develop tooling and datasets for telemetry-driven cost attribution and performance-informed financial modeling.
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- Build and maintain pipelines and automation that provide cloud cost transparency, identify optimization opportunities, and support committed-use discount modeling and management.
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- Ingest and reconcile large-scale billing, usage, telemetry, and performance data from cloud platforms, APIs, and other sources.
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- Design and mature data models, schemas, and ingestion frameworks that support reliable downstream analysis and reporting.
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- Improve the maintainability, scalability, observability, and reliability of production data workflows.
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- Implement comprehensive data auditing, validation, reconciliation, and end-to-end quality controls.
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- Build and maintain REST API integrations and infrastructure automation.
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- Support CI/CD development processes and Infrastructure as Code using Terraform.
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- Troubleshoot production pipeline failures, data inconsistencies, and performance issues.
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- Partner with Product, Engineering, Analytics, and Finance stakeholders to translate technical data into clear, actionable insights. Qualifications Must-Have Skills
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- Hands-on experience with SQL, Python, Spark, and Scala.
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- Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
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- Hands-on AWS experience, including AWS Glue, Amazon Aurora, and Amazon Athena. AWS experience is required.
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- Hands-on experience with GCP and Snowflake.
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- Experience architecting and improving the long-term maintainability of end-to-end ELT and ETL data pipelines.
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- Experience processing, validating, and auditing data at scale.
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- Exposure to CI/CD development processes and version control.
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- Infrastructure as Code experience using Terraform.
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- REST API programming and data-integration experience.
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- Strong attention to detail, analytical ability, and production troubleshooting skills.
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- Ability to explain technical concepts and personally delivered work clearly to non-technical audiences. Nice-to-Have Skills
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- Experience working with FinOps teams or performing cloud cost-optimization duties.
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- FinOps Certified Practitioner or FinOps Certified Engineer certification.
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- Experience working with Datadog API endpoints.
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- Experience with Go. Additional Information Required Tools and Platforms
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- SQL
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- Python
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- Spark
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- Scala
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- AWS Glue
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- Amazon Aurora
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- Amazon Athena
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- GCP
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- Snowflake
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- dbt, Airflow, and/or Dagster
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- Terraform
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- CI/CD tooling
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- Git or another version-control platform
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- REST APIs Location, Schedule, and Engagement
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- Remote contract opportunity.
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- Candidates must be located in LATAM.
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- Full-time allocation of approximately 40 hours per week.
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- Candidates must be available to work a U.
S.-based EST or CST schedule.
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- The contract is expected to continue through March 31, 2027.