Not specified (likely hybrid or onsite given the nature of the role and company culture).
5+ years experience in data engineering
Etl/elt on snowflake or databricks
Proficiency in sql and python/pyspark
NVIDIA is seeking an experienced Data Engineer to join its Finance AI and Data Science team. The role involves developing high-performance data pipelines for traditional analytics and AI initiatives, requiring strong collaboration, technical skills, and a deep understanding of financial data
Job Summary
NVIDIA is seeking an experienced Data Engineer to build robust, scalable data products that support traditional analytics and modern AI initiatives within the Finance team.
The role requires combining business insight with technical expertise to automate critical business processes and deliver an audit-ready source of truth with strict data quality standards.
Candidates will collaborate with AI developers and finance professionals to integrate secure AI models into data workflows and communicate technical solutions clearly across the organization.
Matching Summary
Match Score: 85
NVIDIA is seeking an experienced Data Engineer to join its Finance AI and Data Science team. The role involves developing high-performance data pipelines for traditional analytics and AI initiatives, requiring strong collaboration, technical skills, and a deep understanding of financial data.
Salary
Base: $152,000 - $230,000 USD (Level 3); Base: $168,000 - $264,500 USD (Level 4); Equity and benefits included
Skills & Requirements
Must-have
5+ years experience in data engineering
ETL/ELT on Snowflake or Databricks
Proficiency in SQL and Python/PySpark
Experience with Airflow orchestration
CI/CD pipeline management using Git
Nice-to-have
Experience with SAP or Salesforce systems
Familiarity with non-tabular data formats
Knowledge of regulated data compliance
Background supporting finance data science teams
Experience with Flask or Streamlit frameworks
Key Requirements
Bachelor's or Master's degree in quantitative field
Minimum 4 years specific data engineering experience
Strong background in statistics and machine learning concepts