✦ Luna Orbit — Data & Analytics

Senior Data Engineer

at PayPal Holdings

📍 San Jose, California, United States of America Hybrid 💰 $149K – $198K USD / year Posted March 13, 2026
Salary $149K – $198K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves leading the development of scalable data systems on Hadoop and Google Cloud Platform, providing technical leadership, and ensuring high availability and security of data infrastructure.

  • Lead data system development
  • Conduct code reviews
  • Build scalable data pipelines
  • Ensure system security and availability
  • Collaborate with cross-functional teams

The position requires expertise in big data tools, cloud platforms, data pipelines, data modeling, and warehousing, with a focus on building secure, high-performance data systems.

The ideal candidate is a mid-level data engineer with expertise in building scalable data systems using Hadoop and Google Cloud Platform, with strong skills in data pipelines, modeling, and warehousing. They should have leadership experience and be comfortable leading technical discussions and code reviews.

Build scalable systems on Hadoop and GCPLead technical discussionsCode reviewsDevelop securehighly available systemsData pipeline developmentData modelingData warehousing
SAP HANAFI/COCloud integrationBig Data toolsData governance
HadoopGoogle Cloud PlatformGCPSAP HANAFI/COPythonSpark
HadoopGoogle Cloud PlatformGCPSQLSAP HANAFI/COData pipelineData modelingData warehousingPythonSparkBig DataETLData analysisData engineering
HadoopGoogle Cloud PlatformGCPSQLSAP HANAFI/COData pipelineData modelingData warehousingPythonSparkBig DataETLData analysisData engineering
LeadershipCommunicationCollaborationProblem-solvingTeamworkResults-drivenAnalytical thinking
Industry Fintech
Job Function Design and lead scalable data engineering solutions in a cloud and big data environment
Senior Data EngineerHadoopGoogle Cloud PlatformGCPSQLSAP HANAFI/COData pipelineData modelingData warehousingPythonSparkBig DataETLData analysisData engineering

Less than 3 years of experience, Lack of experience with Hadoop or GCP, No experience in data pipeline development, Inability to work in hybrid mode in San Jose

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