Senior Data Infrastructure Engineer
@ PayPal

San Jose, California, United States
$150,000
On Site
Posted 24 days ago

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Job Details

Overview

The Senior Data Infrastructure Engineer at PayPal delivers complete solutions across all phases of the Software Development Lifecycle, including design, implementation, testing, delivery, and operations. This role involves advising immediate management, guiding junior engineers, and making technical decisions based on internal conventions and industry best practices.

Responsibilities

Design, implement, and operate secure, scalable, reliable, and performant data infrastructure initiatives that support Venmo products, analytics, and other infrastructure teams.

  • Automate provisioning, management, and monitoring of data infrastructure.
  • Build scalable and reliable data pipeline architectures.
  • Develop tools to convert data into actionable insights for improved customer experience and operational efficiency.
  • Implement message streaming solutions using AWS SQS, Apache Kafka, and related technologies.
  • Collaborate with executive, product, engineering, and analytics teams to resolve data-related technical issues.
  • Process, extract, and manage relational and NoSQL databases using SQL and other query languages.
  • Create large, complex data sets meeting both functional and non-functional requirements.

Qualifications

Applicants should have a minimum of 5 years relevant work experience with a Bachelor's degree (or equivalent experience) in computer science or related fields. A master's is a plus. Candidates must have:

  • 3+ years in software development or a related field.
  • 3+ years of experience with on-prem/cloud databases, data warehousing, or distributed systems.
  • Experience operating and maintaining message streaming solutions.
  • Hands-on experience with IaaS and PaaS solutions from AWS (or similar providers) including infrastructure as code tools.
  • Proficiency in programming and scripting with languages such as Python, Java, Bash, and Lambda functions.
  • Experience with big data operations (e.g., AWS S3, AWS DMS, AWS Glue, Apache Spark).
  • Understanding of TLS/mTLS protocols is a plus; AWS Solutions Architect certification is a bonus.

Key Skills/Competency

  • SDLC
  • Data Infrastructure
  • Cloud Computing
  • AWS
  • Automation
  • Data Pipelines
  • Big Data
  • Message Streaming
  • SQL/NoSQL
  • Programming
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How to Get Hired at PayPal

🎯 Tips for Getting Hired

  • Research PayPal's culture: Understand their mission, values, and recent updates.
  • Customize your resume: Highlight data infrastructure and cloud experience.
  • Prepare technical responses: Review AWS, Kafka, and big data operations.
  • Practice behavioral insights: Be ready to discuss leadership and collaboration.

📝 Interview Preparation Advice

Technical Preparation

Review AWS services and architecture patterns.
Practice data pipeline design and troubleshooting.
Brush up on message streaming with Kafka.
Study infrastructure as code tools like Terraform.

Behavioral Questions

Describe handling challenging project conflicts.
Explain decision-making under tight deadlines.
Discuss teamwork with cross-functional stakeholders.
Share experience mentoring junior engineers.

Frequently Asked Questions