Sr. Database Engineer

PayPalScottsdale, AZ
$111,500 - $165,550Hybrid

About The Position

This job ensures the reliability, scalability, and performance of PayPal’s global data platforms. This role leads infrastructure transformations, architects petabyte-scale operational systems, and optimizes mission-critical OLTP and analytics environments. The engineer designs, implements, automates, and manages next-generation cloud-native database systems across multi-cloud platforms while driving operational excellence, automation, and AI-driven optimization. Collaboration with cross-functional data and product teams is essential to support PayPal’s data-driven innovation and platform resilience.

Requirements

  • 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • Proficiency in BigTable, Oracle, MySQL/MariaDB, Hadoop, Spark, Kafka, BigQuery, and Kubernetes.
  • Expertise with Terraform, Ansible, Puppet, and GitOps automation frameworks.
  • Strong programming in Python and SQL; familiarity with Bash, Java, or Scala.
  • Experience with AWS, GCP, and Azure environments.
  • Linux system administration and distributed systems troubleshooting skills.
  • Deep understanding of observability tools (Grafana, Datadog, ELK).
  • Strong focus on system reliability, performance tuning, and automation.

Responsibilities

  • Design, deploy, and manage high-performance database clusters (BigTable, Oracle, MySQL, Cloud SQL).
  • Architect multi-cloud database solutions across AWS, GCP, and Azure.
  • Build Infrastructure-as-Code (IaC) frameworks using Terraform, Ansible, Puppet, and Packer.
  • Optimize databases through indexing, partitioning, tuning, and query improvements.
  • Automate schema deployment and management using GitOps and CI/CD workflows.
  • Lead incident response and implement self-healing and failover strategies.
  • Develop observability and alerting systems using Grafana, Datadog, and Prometheus.
  • Create Python-based automation and AI-driven optimization tools for database operations.
  • Ensure database security, compliance, and documentation best practices.
  • Collaborate with engineers, data scientists, and ML teams to support analytics and platform goals.

Benefits

  • Generous paid time off
  • Healthcare coverage for you and your family
  • Resources to create financial security
  • Support your mental health
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