Staff Data Engineer, Data Science Platform
at Nvidia
Posted 3 hours ago
No clicks
- Compensation
- $184,000 – $356,500 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
Lead the design and implementation of scalable data platforms for NVIDIA's data science platform, enabling real-time analytics, streaming, data lakehouse architectures, and MLOps for cloud services. Build and govern enterprise data pipelines, catalogs, and workflows to ensure robust data processing at scale. Collaborate with cross-functional teams to productionize data-driven innovations and integrate advanced algorithms into production systems.
At NVIDIA, we pride ourselves on data-driven decision-making, and the data science team is at the heart of this initiative. Be part of a team redefining the future of technology with AI. We are looking for an excellent Staff Data engineer with extensive data engineering experience for our data science platform supporting NVIDIA's cloud platform services. Our data science platform serves as the basis for advanced real time data analytics, streaming, data lake, accelerated data processing and MLOps for NVIDIA's cloud services.
What you'll be doing:
Crafting and implementing data platforms that are both scalable and reliable, ensuring flawless performance and robust data processing.
Design and build data Lakehouse architecture for our customers
Design and develop enterprise data governance solutions that enable secure, simplified data sharing across the organization.
Build data engineering agents to optimize and automate data workflows for efficiency and scalability.
Collaborating with cross-functional teams to determine the best solutions and successfully implement data-driven strategies.
Partner with our other engineering and business teams to integrate your amazing innovations and algorithms into our production systems.
What we need to see:
A Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field.
8+ years of proven experience in data engineering, with a strong focus on data science platforms.
Experience owning and architecting peta-byte scale data platforms.
Passion about Big data and large scale distributed systems.
Experience working with Hadoop, Spark and Trino compute and expertise with open table format such as delta lake and/or iceberg etc.
Expertise in crafting and deploying distributed data lake architectures with integrated data catalogs.
Excellent SW development skills in one or more: Java/Scala/Python/Go.
Ways to stand out from the crowd:
Contributions to open source
Experience with operating large scale distributed systems with strong SLAs
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
