> Markdown version of [/jobs/ext/3450971-sr-software-engineer-bigquery](https://www.wearedevelopers.com/jobs/ext/3450971-sr-software-engineer-bigquery). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Software Engineer - BigQuery - **Company:** PayPal - **Location:** Scottsdale, AZ, United States - **Experience:** Expert - **Salary:** $123,500.0 - $183,700.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Big Data, BigQuery, Data Architecture, Data Integrity, Data Sharing, Identity and Access Management, Java Web Services, Systems Development Life Cycle, Query Optimization, Cloudera, Software Engineering, Data Logging, Google Cloud, Spring-boot, Backend, Build Management, Microsoft Fabric, Data Lakes, Google Cloud Functions, Data Delivery, Restful APIs, Data Pipelines - **Published:** September 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=49e647e85c97361c ## About the Role * 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience., * 6+ years of professional experience as a software engineer building production systems * Strong proficiency in Java, including designing and building RESTful APIs using Spring Boot or similar frameworks * 4+ years of hands-on experience on Google Cloud Platform, particularly BigQuery, Dataproc, Pub/Sub, Cloud Run, and Cloud Functions * Deep expertise in BigQuery internals, includingQuery execution plans and performance tuningTable partitioning and clustering strategiesPartition sizing and cost versus performance tradeoffsBulk updates, real-time updates and deletes, and materialized views * Experience designing and operating real-time and near-real-time data pipelines * Strong experience with logging, monitoring, and observability, including dashboards, alerting, and production troubleshooting * Proficiency with IAM, service accounts, and data access controls, including data localization and compliance requirements * Ability to design scalable, reliable systems with a strong focus on correctness, performance, and operational excellence * Strong communication skills and the ability to collaborate across engineering and cross-functional teams. Nice to have * Experience building systems that support financial reporting, reconciliation, or external data sharing * Familiarity with regulated environments and auditability requirements * Experience with modern data architectures such as Data Lakes, Data Mesh, or Data Fabric * Background in payments, credit, or financial services ## Description As a Senior Software Engineer (CL6) on the Credit Platform, you will design and operate Java-based backend services alongside BigQuery-powered data workflows that support credit and asset externalization processes. You will work on systems where real-time services, large-scale data processing, and financial reporting intersect. This role requires strong technical ownership, sound judgment, and comfort operating in environments where system correctness and data integrity are essential. This is a hands-on role with broad technical scope and meaningful cross-team collaboration., * Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles. * Advises immediate management on project-level issues * Guides junior engineers * Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices * Applies knowledge of technical best practices in making decisions, * Design and build Java-based backend services and RESTful APIs supporting credit and asset externalization workflows * Own BigQuery-backed datasets and pipelines used for reporting, reconciliation, and external data delivery * Design data models and access patterns that support accurate, auditable representation of credit assets * Optimize BigQuery performance, cost, and reliability using partitioning, clustering, and query tuning * Build and operate real-time and near-real-time pipelines using Pub/Sub, batch or streaming frameworks, and Java services * Leverage Dataproc for large-scale data processing and synchronization across BigQuery tables * Ensure strong observability, data quality controls, and operational readiness across services and data workflows * Partner with product, finance, risk, compliance, and engineering teams to deliver secure and compliant solutions * Influence platform architecture and best practices through design reviews and technical leadership., 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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## 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) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Software Engineer Salary in The UK](https://www.wearedevelopers.com/magazine/231-software-engineer-salary-in-the-uk) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Software Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/194-software-developer-salary-in-germany-2023)