PayPal

1 day ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Build and enhance back-end and real-time data pipelines for marketing technology experiences, delivering scalable, secure data processing that supports customer engagement. Design, develop, and maintain ETL workflows to ingest and transform data into a data warehouse, while partnering with product managers, analysts, and stakeholders to meet business needs. Ensure reliability and performance through monitoring, automated data quality checks, and troubleshooting, supported by strong documentation and review practices.

Location: San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Deliver new features, enhancements, and fixes for real-time marketing technology applications impacting millions of users.
•Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and load data into the data warehouse.
•Collaborate with product managers, analysts, and stakeholders to translate data requirements into scalable solutions for large volumes of data.
•Ensure reliability, availability, and scalability of data systems by monitoring performance, optimizing, and implementing automated data quality checks.
•Troubleshoot data-related issues, identify root causes, and maintain documentation and design artifacts for pipelines, systems, and processes.

Pay and Benefits

Salary: USD 227,639 - 300,500 annually

Equity and Bonus:Equity

Perks:Health InsurancePaid Leave

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science, Engineering, or a closely related field plus 8 years of experience, or a Bachelor’s degree plus 10 years of experience in the job offered or related occupation.
•8+ years in data engineering, warehousing, and analytics.
•8+ years in Python and shell scripting.
•8+ years with SQL and building ETL processes for large datasets.
•5+ years with Google BigQuery and Google Cloud Platform, plus experience with Kafka, Airflow, Automic UC4, and Spark/Hadoop.

Experience:8-10 yearsData engineeringData warehousingAnalyticsETLReal-time data processingCloud data platforms

Education:Master's in Computer Science, Engineering, or closely related field

Skills:AnalyticalProblem-solvingCollaborationTroubleshootingDocumentation

Tech Stack:PythonShellSQLTableauThoughtSpotGoogle BigQueryGoogle Cloud PlatformErwinApache KafkaApache AirflowAutomic UC4SparkHadoopETLData pipelinesData warehouse

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

PayPal

Global online payments platform enabling digital and mobile payments, money transfers, and merchant services for consumers and businesses, supporting e‑commerce transactions across multiple currencies and payment methods.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1998

Website LinkedIn

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PayPal

1 day ago

Staff Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: San Jose

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Deliver new features, enhancements, and fixes for real-time marketing technology applications impacting millions of users.
•Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and load data into the data warehouse.
•Collaborate with product managers, analysts, and stakeholders to translate data requirements into scalable solutions for large volumes of data.
•Ensure reliability, availability, and scalability of data systems by monitoring performance, optimizing, and implementing automated data quality checks.
•Troubleshoot data-related issues, identify root causes, and maintain documentation and design artifacts for pipelines, systems, and processes.

Pay and Benefits

Salary: USD 227,639 - 300,500 annually

Equity and Bonus:Equity

Perks:Health InsurancePaid Leave

Key Requirements

•Master’s degree (or foreign equivalent) in Computer Science, Engineering, or a closely related field plus 8 years of experience, or a Bachelor’s degree plus 10 years of experience in the job offered or related occupation.
•8+ years in data engineering, warehousing, and analytics.
•8+ years in Python and shell scripting.
•8+ years with SQL and building ETL processes for large datasets.
•5+ years with Google BigQuery and Google Cloud Platform, plus experience with Kafka, Airflow, Automic UC4, and Spark/Hadoop.

Experience:8-10 yearsData engineeringData warehousingAnalyticsETLReal-time data processingCloud data platforms

Education:Master's in Computer Science, Engineering, or closely related field

Skills:AnalyticalProblem-solvingCollaborationTroubleshootingDocumentation

Tech Stack:PythonShellSQLTableauThoughtSpotGoogle BigQueryGoogle Cloud PlatformErwinApache KafkaApache AirflowAutomic UC4SparkHadoopETLData pipelinesData warehouse

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

PayPal

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1998

Website LinkedIn