Senior Data Engineer, Ops Data Platform

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Responsibilities

• Implement End-to-End Quality Data platform solutions for Datacenter products.
• Build data pipelines transporting data from sources to the data lake.
• Analyze and organize raw data.
• Build data systems and pipelines ensuring clarity of sources, ingestion, transformation, and destinations.
• Perform complex data analysis to interpret trends and patterns.
• Prepare data for prescriptive and predictive modeling by ensuring completeness, cleansing, and rule enforcement.
• Build algorithms and prototypes.
• Develop analytical tools and programs.
• Collaborate with data scientists and architects on projects.
• Evaluate business needs to ensure access to raw data.

Requirements

• Bachelor’s or master’s degree (or equivalent experience) in computer science, information systems, or equivalent programming knowledge (e.g., Python, Java).
• 8+ years experience in data and database management including data pipeline responsibilities (replication, mass ingestion, streaming, API integration).
• Experience developing and maintaining data warehouses in big data solutions and ecosystems like Azure, AWS, and Hadoop.
• Built infrastructure for ETL from various sources using AWS, Azure, SQL, Databricks, Splunk, or Snowflake.
• Knowledgeable in data analytics, mining, and segmentation techniques.
• Effective communicator able to translate business needs into technology solutions.
• Ability to connect successfully and effectively with team members.
• High energy, positive problem-solving attitude, multitasking, and strong organizational skills.
• Strong analytical skills with attention to detail and accuracy.
• Knowledge of operational processes in semi-chips, boards, systems, and servers with a data landscape perspective.

Ways to Stand Out

• Ability to drive continuous improvement of systems and processes.
• Self-starter, confident, with integrity, accountability, highly motivated.
• Ability to work in a fast-paced environment requiring strong organizational skills.

Benefits

Competitive salary and generous benefits package including equity. NVIDIA is recognized as a top technology employer with an elite engineering team and a commitment to diversity and equal opportunity.

Your base salary range is $168,000 to $264,500 USD, depending on location, experience, and market pay.