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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineer - Data Infrastructure - **Company:** PayPal - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $143,500.0 - $212,850.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Data Analysis, Big Data, Computer Programming, Data Files, Data Infrastructure, Extract Transform Load (ETL), Relational Databases, Python (Programming Language), Microsoft Message Queuing, NoSQL, Systems Development Life Cycle, Software Engineering, SQL Databases, Apache Spark, Cloudformation, Deployment Automation, AWS Glue, Apache Kafka, Build Tools, Functional Programming, Terraform, Data Pipelines, AWS EKS - **Published:** September 25, 2026 - **Apply:** https://startup.jobs/senior-engineer-data-infrastructure-0701-paypal-payments-mexico--10190469 ## About the Role * 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., * Bachelors and/or master's in computer science or related field of study * 3+ years' experience in software development or a related field * 3+ years' experience operating global scale high throughput AWS native data pipelines * Hands-on experience with designing and implementing infrastructure to support global-scale services * Hands-on experience with IaaS and PaaS solutions from AWS (or similar cloud provider), including: + Infrastructure as code (Terraform, AWS CloudFormation) + Programming and scripting (Python, Java, Lambda) * Hands-on experience with related big data infrastructure - AWS S3, AWS DMS, AWS EKS, Apache Spark, AWS Glue - and how they integrate with a streaming backbone * Experience with operating/maintaining message streaming solutions like AWS SQS, Apache Kafka etc. * Ability to troubleshoot problems * Strong communication skills with the ability to understand and explain technical issues to a non-technical audience * AWS Solutions Architect is a plus, * 3+ years relevant experience and a Bachelor's degree, OR any equivalent combination of education and experience ## Description The Venmo Data Infrastructure team supports Venmo's internal and customer-impacting data movement and message streaming infrastructure. We are actively engaged in partnering with development groups, platform, and infrastructure teams - providing deep subject matter expertise on Kafka-based streaming architecture, and acting as the escalation point for analyzing and resolving complex, large-scale streaming and performance issues., * Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff * Follows well-established internal conventions and standard procedures * Understands internal standards & processes an applies them to make technical decisions * Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions * May contribute to code & design reviews, The Venmo Data Infrastructure team supports Venmo's internal and customer impacting data movements and message streaming infrastructure. Venmo Data Infrastructure team is actively engaged in partnering with development groups, platform and infrastructure teams, providing deep subject matter expertise to feature design as well as an advocate for analyzing and resolving customer and performance issues at scale. What You'll Do * Design, implement and operate data infrastructure's initiatives to provide secure, scalable, reliable and performant platform to Venmo product, analytics and the other infrastructure teams * Automate provisioning, management and monitoring solutions for the supported data infrastructure * Build and implement scalable and reliable data pipeline architecture to optimize overall performance. * Build tools that help users leverage our data into actionable insights to improve our customers' experiences, operational efficiency, and business performance. * Build and implement message streaming solutions for Venmo applications with AWS SQS, Apache Kafka etc * Collaborate with stakeholders including the Executive, Product, Engineering and Analytics teams to assist with data-related technical issues and support their data infrastructure need. * Collaborate with teammates on planning and execution of initiatives. * Process, extract and manage relational databases and systems such as query authoring (SQL) and NoSQL databases. * Create large, complex data sets that meet functional and non-functional business requirements. * Demonstrable ability to learn new technologies and process practices., The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is, Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [Hosting a modern justice system](https://www.wearedevelopers.com/videos/332-hosting-a-modern-justice-system) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)