Senior Data Engineer

PayPal is seeking a Senior Data Engineer to drive the design and development of complex data pipelines and systems that power the next-generation CDP-based Marketing Automation platform. The role requires strong experience in building enterprise-scale data platforms and pipelines, advanced SQL skills, and the ability to solve complex, low-latency business problems.

Requirements

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience
• Demonstrated deep hands-on experience building enterprise-class data platforms and pipelines at scale
• Expert-level SQL skills – ability to write and optimize complex queries across large datasets (billions of records)
• Strong experience with both batch processing (Spark, Dataproc) and real-time/streaming systems (Kafka, Pub/Sub, Dataflow)
• Proven ability to build low-latency data systems that solve time-sensitive business problems
• Hands-on proficiency with Cloud data services. Preferably – BigQuery, Bigtable, Dataproc, Cloud Storage, Pub/Sub
• Strong Python programming skills for data pipeline development and automation
• Experience with workflow orchestration tools (Airflow, UC4, or similar)
• Solid understanding of data modeling, schema design, and data warehouse concepts
• Experience with CI/CD pipelines and DevOps practices for data systems
• Strong debugging and troubleshooting skills for distributed data systems
• Ability to work in a fast-paced environment and ramp up quickly on new technologies and domains

Benefits

• Generous Paid Time Off
• Healthcare coverage for you and your family
• Resources to create financial security and support your mental health