Job Description
As a Data Engineer at this Fortune 500 company, you will focus on enabling data-driven insights across FinTech consumer and business products. This role emphasizes downstream data engineering work, including automation, reporting, and building scalable data pipelines that power dashboards and analytics. You will collaborate closely with analytics, product, and business teams to transform raw data into actionable insights that support products such as Buy Now Pay Later (BNPL) and other consumer and business solutions.
Key Responsibilities
Build and maintain data pipelines that support reporting, analytics, and business intelligence use cases.
Automate recurring data workflows and reporting processes to improve efficiency and data reliability.
Design and develop interactive dashboards and visualizations to support product, operations, and business teams.
Work with large datasets from PayPal's consumer and business products, including BNPL and other financial services offerings.
Partner with analysts, product managers, and stakeholders to understand reporting requirements and deliver scalable data solutions.
Ensure data quality, consistency, and accessibility for downstream analytics and decision-making.
Leverage internal analytics platforms such as Claude Compute and Claude Dashboard for data processing and reporting.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Skills and Requirements
Strong proficiency in Python for data processing and automation.
Experience building dashboards and visualizations using Looker and Tableau.
Experience designing and maintaining data pipelines for analytics and reporting.
Strong analytical mindset with experience working with large datasets.
Ability to collaborate with cross-functional teams including product, analytics, and business stakeholders. Here's a JD as well for your review : Role Overview
As a Data Engineer at PayPal, you will focus on enabling data-driven insights across PayPal's consumer and business products. This role emphasizes downstream data engineering work, including automation, reporting, and building scalable data pipelines that power dashboards and analytics. You will collaborate closely with analytics, product, and business teams to transform raw data into actionable insights that support products such as Buy Now Pay Later (BNPL) and other PayPal consumer and business solutions.
Key Responsibilities
Build and maintain data pipelines that support reporting, analytics, and business intelligence use cases.
Automate recurring data workflows and reporting processes to improve efficiency and data reliability.
Design and develop interactive dashboards and visualizations to support product, operations, and business teams.
Work with large datasets from PayPal's consumer and business products, including BNPL and other financial services offerings.
Partner with analysts, product managers, and stakeholders to understand reporting requirements and deliver scalable data solutions.
Ensure data quality, consistency, and accessibility for downstream analytics and decision-making.
Leverage internal analytics platforms such as Claude Compute and Claude Dashboard for data processing and reporting.
Scope of Work
Focus on downstream data engineering and analytics enablement rather than building core data infrastructure.
Enable business insights through reporting systems, pipelines, and dashboards.
Support cross-product analytics across PayPal's ecosystem.
Required Skills and Qualifications
Strong proficiency in Python for data processing and automation.
Experience building dashboards and visualizations using Looker (chatgpt://generic-entitynumber=1) and Tableau (chatgpt://generic-entitynumber=2).
Experience designing and maintaining data pipelines for analytics and reporting.
Strong analytical mindset with experience working with large datasets.
Ability to collaborate with cross-functional teams including product, analytics, and business stakeholders.
Preferred Qualifications
Experience working with fintech or payments data.
Familiarity with PayPal's internal analytics tools such as Claude Compute and Claude Dashboard.
Experience supporting analytics for financial products such as Buy Now, Pay Later (BNPL).
