Senior Staff Software Engineer - Data Engineering

Details

NVIDIA is looking for a Senior Staff Software Engineer focused on data engineering to join its FinOps team. You will build and operate the pipelines and data models behind cost allocation, forecasting, and optimization. Your work will improve data reliability and help the team onboard new sources without repeated manual effort.

Responsibilities

• 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 API and file-based sources, handling schema changes, late-arriving data, and safe backfills.
• Develop cost, usage, and ownership models for business unit, 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.

Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• 12 or more years of software or data engineering experience building and operating production data systems.
• Strong Python and SQL skills, including 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.
• Sound judgment when using AI coding tools and validating generated code.

Preferred Qualifications

• Familiarity with FinOps, cloud billing datasets, FOCUS, SaaS license utilization, or cost-allocation models across cloud and shared services.
• Experience with data catalogs, workflow orchestration, observability platforms, or AI-assisted anomaly detection and root-cause analysis.

Benefits

• Equity and benefits are provided.
• NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.

Applications for this job will be accepted at least until October 27, 2026.