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# Senior Staff Software Engineer - Data Engineering

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $322,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Software as a Service, Computer Engineering, Continuous Integration, Data as a Services, Data Validation, Information Engineering, Data Transformation, Data Security, Software Debugging, Distributed Computing Environment, Distributed Data Store, Python (Programming Language), Metadata Repositories, Operational Databases, Standard Sql, SQL Databases, Systems Integration, Workflow Management Systems, Apache Spark, AI Coding Agents, Git, Information Technology, Restful APIs, Pagination, Databricks
- **Published:** October 23, 2026
- **Apply:** https://www.disabledperson.com/jobs/76217963-senior-staff-software-engineer-data-engineering

## About the Role

* 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. Sound judgment when using AI coding tools and validating generated code.

Ways to stand out from the crowd:

 * 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.

## Description

* 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, 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.