NVIDIA is seeking a Senior Staff Software Engineer to join its FinOps team, focusing on data engineering. The role involves building and operating data pipelines and models for cost allocation, forecasting, and optimization. This position requires strong technical skills in Python, SQL, and cloud technologies, as well as experience in data reliability and governance. The engineer will work in a collaborative environment to enhance data processes and support business needs.

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• 12+ years of software or data engineering experience building and operating production data systems.
• Strong Python and SQL skills, with experience writing maintainable, tested code and debugging complex data transformations.
• Hands-on experience with Databricks, Apache Spark, and lakehouse technologies, or comparable distributed data platforms.
• Experience with data modeling, incremental processing, partitioning, schema evolution, and analytical query performance.
• Experience building cloud-based pipelines and integrating REST APIs, including authentication, pagination, rate limits, and error handling.
• A track record of owning production reliability through automated tests, data quality checks, monitoring, incident diagnosis, and recovery.
• Clear technical communication and the ability to resolve ambiguous data requirements with engineering and business partners.
• Experience with Git, CI/CD, and secure handling of credentials and data access.

• Design, build, and operate production pipelines using Python, SQL, and Databricks/Spark for cloud billing, SaaS usage, and shared-service telemetry.
• Build reusable ingestion frameworks and data contracts for APIs and file-based sources, handling schema changes, late-arriving data, and safe backfills.
• Develop cost, usage, and ownership models for business units, platform, and service allocation, with reconciliation and traceability to source records.
• Implement data freshness, completeness, and accuracy checks, lineage, and actionable monitoring.
• Diagnose incidents and automate retries, replay, and recovery.
• Optimize distributed processing, storage, and serving-layer queries for performance, scalability, and infrastructure cost.
• Own testing, CI/CD, safe deployments, and operational runbooks for data services, and participate in production support.
• Partner with Finance, infrastructure, and service owners to turn reporting and governance requirements into clear data models and interfaces.
• Lead technical design and code reviews, mentor engineers, and apply access controls and auditability throughout the data lifecycle.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.