✦ Luna Orbit — Data & Analytics

Sr Data Engineer

at PayPal Holdings

📍 2 Locations Hybrid 💰 $129K – $191K USD / year Posted March 13, 2026
Salary $129K – $191K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves leading the design and implementation of complex data systems and pipelines, ensuring data quality, and collaborating with teams to meet data requirements.

  • Lead data pipeline design
  • Ensure data quality and validation
  • Collaborate with stakeholders
  • Develop data storage solutions
  • Implement data transformation techniques

Focuses on data pipeline development, data storage, data validation, and transformation using Python, SQL, and data architecture best practices.

The ideal candidate is a mid-level data engineer with experience designing and implementing complex data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver data solutions.

Design and development of data pipelinesData quality assuranceData transformation techniquesCollaborate with cross-functional teams
Advanced data storage solutionsData cleansing processesData validation techniques
SQLData pipelinesData storage solutions
Data pipelinesData qualityData transformationData validationData cleansingData analysisData engineeringSQLPython
Data pipelinesData storage solutionsData qualityData transformationData collectionData processingData validationData cleansingData analysisData engineeringComplex data systemsData architecture
LeadershipCollaborationStakeholder communicationProblem-solvingMentoring
Industry Fintech
Job Function Design and implement data systems and pipelines for data collection and processing
Data EngineerData pipelinesData storage solutionsData qualityData transformationData validationData cleansingData analysisData processingData collectionData engineeringData systemsData architecturePythonSQL

Lack of experience with data pipelines, No experience in data quality assurance, Inability to collaborate with cross-functional teams

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