PayPal

Database Engineer

PayPal

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $94,000 - $156,200 per year

Job Level

JuniorMid-Level

Tech Stack

ApacheCloudGoogle Cloud PlatformHadoopOraclePython

About the role

  • Contribute to the development of scalable systems on platforms like Apache Hadoop, Google Cloud Platform (GCP), and SAP HANA
  • Participate in technical discussions and assist in code reviews
  • Learn and apply engineering best practices under guidance of senior team members
  • Write maintainable and efficient code to support secure and highly available systems
  • Assist in defining, developing, integrating, testing, documenting, and supporting technical solutions
  • Support the development of high-performance data pipelines handling large-scale workloads
  • Collaborate with the data team to analyze datasets, contribute to model building, and assist in creating reports and visualizations using Google Cloud tools
  • Gain hands-on experience deploying large-scale data solutions within an enterprise environment
  • Follow established project management frameworks and adhere to development processes under supervision
  • Support the design, development, troubleshooting, and debugging of software programs for databases, applications, tools, and networks

Requirements

  • Minimum of 2 years of relevant work experience
  • Bachelor's degree or equivalent experience
  • Experience with enterprise-grade database technologies and large-scale data platforms (preferred)
  • Experience designing mission-critical data infrastructure at petabyte scale (preferred)
  • Experience with GCP cloud-native DBs like BigTable and Spanner, Cloud networking, and architecture (preferred)
  • Experience with managing Oracle databases (preferred)
  • Proficiency in automation and scripting languages (Python, Bash) (preferred)
  • Demonstrated leadership in cross-functional collaboration and high-impact delivery (preferred)
  • Experience with generative AI tools for database optimization (preferred)