Data Engineer – Finance

Nvidia Corporation

Base: $152,000 - $230,000 usd (level 3) or $168,00...
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5+ years data engineering experience
Snowflake databricks aws azure gcp
Sql python pyspark coding skills
** Nvidia is seeking an experienced Data Engineer to join its Finance AI and Data Science team, focusing on the creation and enhancement of high-performance data pipelines for traditional analytics and AI initiatives. The ideal candidate should have a strong background in data engineering, particularly with modern data platforms, and a passion for leveraging data to drive business insights. **

Job Summary

  • NVIDIA is seeking an experienced Data Engineer to build high-performance pipelines supporting traditional analytics and modern AI initiatives within the Finance team.
  • The role requires collaborating with AI developers and finance professionals to develop robust, scalable data products while ensuring audit-ready data quality and lineage.
  • Candidates will benefit from NVIDIA's competitive salary range of $152,000 to $264,500 USD depending on level, along with equity and comprehensive benefits.

Matching Summary

Match Score: 75

** Nvidia is seeking an experienced Data Engineer to join its Finance AI and Data Science team, focusing on the creation and enhancement of high-performance data pipelines for traditional analytics and AI initiatives. The ideal candidate should have a strong background in data engineering, particularly with modern data platforms, and a passion for leveraging data to drive business insights. **

Salary

Base: $152,000 - $230,000 USD (Level 3) or $168,000 - $264,500 USD (Level 4); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • 5+ years data engineering experience
  • Snowflake Databricks AWS Azure GCP
  • SQL Python PySpark coding skills
  • Airflow orchestration and CI/CD
  • Financial data domain knowledge

Nice-to-have

  • SAP or Salesforce integration experience
  • Non-tabular data formats like JSON XML
  • Flask Streamlit app development frameworks
  • DVC data versioning tools proficiency
  • Regulated data compliance pipeline building

Key Requirements

  • Bachelor's or Master's degree in quantitative field
  • Minimum 5 years total experience with 4 in data engineering
  • Proficiency in Git and testing tools like pytest

Work Rights

Not specified

Tailored Resume

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