
Data Engineer – Financial Transactions, Automation
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Texas • 🇺🇸 United States
Visit company websiteSalary
💰 $148,000 - $235,750 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformJavaKafkaLinuxNode.jsPythonScalaSQL
About the role
- Develop and maintain event-driven pipelines (Kafka)
- Implement data models ensuring transactional integrity for commercial events
- Perform data analysis to validate financial accuracy
- Build dashboards to visualize system health
- Implement automated quality checks within ETL processes
- Collaborate with the team to translate business requirements into scalable code
Requirements
- Bachelor’s degree (or equivalent experience)
- 5+ years of industry experience in data engineering or software development
- Proficiency in building REST APIs and data pipelines using Python, Java, Scala, or NodeJS
- Strong SQL and Data Analytics skills (e.g., complex querying, data profiling)
- Working knowledge of distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure)
- Experience with container tools like Docker
Benefits
- Equity
- Benefits 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonJavaScalaNodeJSSQLData AnalyticsKafkaETLREST APIsData Modeling
Soft skills
collaborationcommunicationproblem-solvinganalytical thinking
Certifications
Bachelor's degree