Senior Staff Data Engineer - FinOps & Data Pipelines

NVIDIA Corporation; Santa Clara (CA); On-site; USD 200,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Staff Software Engineer focused on data engineering to join its FinOps team in Santa Clara. You will design, build and operate production data pipelines using Python, SQL and Databricks/Spark for cloud billing, SaaS usage and shared-service telemetry.

You will lead data modeling, tests, CI/CD, and governance, while collaborating with Finance and infrastructure to ensure reliable, scalable data platforms and cost ownership models.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering or 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 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.
• Track record of owning production reliability through automated tests, data quality checks, monitoring and recovery.
• Clear technical communication and ability to resolve ambiguous data requirements with engineering and business partners.

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

Skills

Python

SQL

Databricks

Apache Spark

Data engineering

CI/CD

Git

Data modeling

Education

Bachelor’s or Master’s degree in CS/CE or related field

Tools

Databricks

REST APIs

Job description

NVIDIA Corporation is seeking a Senior Staff Software Engineer focused on data engineering to join its FinOps team in Santa Clara. You will design, build and operate production data pipelines using Python, SQL and Databricks/Spark for cloud billing, SaaS usage and shared-service telemetry.

You will lead data modeling, tests, CI/CD, and governance, while collaborating with Finance and infrastructure to ensure reliable, scalable data platforms and cost ownership models.