NVIDIA · 1 day ago
Senior Data Engineer, Ops Data Platform
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$168K/yr - $264K/yr
8+ years expNVIDIA has been transforming computer graphics and computing for over 25 years, focusing on AI to define the next era of technology. The Senior Data Engineer will support the Operations Data Platform by implementing quality data solutions, building data pipelines, and collaborating with data scientists to derive insights from data.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Responsibilities
Implement End-to-End Quality Data platform solutions for our Datacenter products
Build data pipelines that are used to transport data from a data source to the data lake
Analyze and organize raw data
Build data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation
Interpret trends and patterns by performing complex data analysis
Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place
Build algorithms and prototypes
Develop analytical tools and programs
Collaborate with data scientists and architects on projects
Evaluate business needs and objectives to ensure the organization can access the raw data
Qualification
Required
Bachelor's or master's degree (or equivalent experience) in computer science or information system, or equivalent experience with programming knowledges (i.e Python, Java, etc)
8+ years of experience in data and database management that includes data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration
Experience developing and maintaining data warehouses in big data solutions. Experience with several ecosystems like Azure, AWS, and Hadoop environments
You have built required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies. Knowledgeable in Databricks, Splunk, or Snowflake solutions
Knowledge of data analytics/mining and segmentation techniques
Communicate effectively with business users and translate business needs into technology solutions
Ability to connect with all team members successfully and effectively
High energy with positive problem-solving attitude, and multi-task and strong organization skills
Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy
Knowledge in operational processes in semi-chips, boards, systems, and servers with a view of data landscape
Preferred
Strong ability to drive continuous improvement of systems and processes
Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity
A proven ability to work in a fast-paced environment where strong organizational skills are essential
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-07
2026-01-07
Company data provided by crunchbase