Senior Data Engineer - Finance

NVIDIA has been redefining 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 encouraged to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is hiring a senior data engineer within the Finance Data Science and AI team. You will work alongside data scientists, data engineers, AI developers, finance, and other business partners integrating data science and AI into our business processes. We are looking for an experienced data engineer drive AI and ML data pipelines, constantly innovate and break down complex problems, and develop a deep understanding of a diverse array of data sources.

What you’ll be doing:

• Identify, understand, and query a multitude of data sources for ML and AI purposes. This role will also be working to create a semantic layer that enables our AI text-to-sql initiatives.

• Many of our projects use internal and external data that may be new or unfamiliar. You will help us to find data sources and data owners, understand which data best meets the requirements, and work with domain experts to develop a deep understanding of the data.

• Combine business insight and data engineering skills to support critical finance data science and AI initiatives with both structured and unstructured data. You will design and maintain reliable and accurate data pipelines in Databricks. Source data will include external API's, internal ERP systems such as SAP, and non-standard / unstructured data sources.

• Translate technical solutions into business language and business requests into technical solutions, communicating with technical and nontechnical business partners to make sure solutions are understood by all involved and meet business needs.

• Partner with multiple levels and teams across organizations (Finance, Engineering, IT, Product, Sales, and Marketing teams).

What we need to see:

• Professional experience using data alongside AI and / or data science teams and drive meaningful business outcomes.

• 5+ years of experience in data engineering. Job scope can be adjusted to accommodate more experienced candidates.

• BS/MS or equivalent experience in Business Analytics, Data Science, Economics, Mathematics, other technical fields. Technical Master’s or equivalent experience with finance or business background is preferred.

• Data engineering project management, including collaborating closely with and coordinating across multidisciplinary teams.

• Strong technical skills, with a proven history of designing, validating, deploying, and maintaining data pipelines in SQL, Python, & Databricks (or similar). Extensive experience writing queries against SAP and other ERP systems.

• Excellent communication skills, with the ability to document and present current status and final projects to technical and business partners.

Ways to stand out from the crowd:

• Operations finance or other applied, business-focused data engineering experience, especially at a larger company or in the semi / tech industry.

• Experience with PySpark, Unity Catalog, Hive Metastore, Delta Tables, AWS networking (VPCs, Subnets, Gateways, etc.), and EKS.

• Experience with vector databases, no sql databases such as Mongo, document pre-processing steps including OCR or RDA/RPA, and/or graph databases such as Neo4j.

• Front end UI development skills.

• A history of creative solutions using data to add business value to an organization and an interest in experimenting with new technologies and applying them to problems in novel ways.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and if you're creative and autonomous, we want to hear from you! As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/.

The base salary range is 152,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.