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PayPal Senior Cloud FinOps Data Engineer 
United States, Texas, Austin 
292476167

20.03.2025

In your day-to-day activities you will
  • Work with the DB Lead to create and maintain optimal data pipeline architecture

  • Assemble large, complex data sets that meet functional / non-functional business requirements

  • Build the ETL jobs required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google ‘big data’ technologies

  • Build APIs that expose the data so customers can consume and integrate with our data

  • Evaluate large and complex queries / stored procedures and recommend changes to optimize performance

  • Assist with the expansion into public cloud cost transparency

  • Lead automation efforts leveraging inner source interaction models with other teams

  • Assist data analysts on our team with query development, statistical analysis, and data visualization as needed

  • Maintain technical documentation on stored procedures and ETL logic used to manage the database and data ingestion pipeline

  • Collaborating with cross-functional teams to understand data needs and delivered solutions

Minimum Requirements
  • BS in computer science, Information systems or equivalent field, MS preferred

  • 8+ years working experience as a Data Engineer

  • Experience building and optimizing ETLs, data pipelines, architectures, and data aggregates

  • Proficient in Microsoft SQL Server 2016 & 2019 Database Development (T-SQL), Data Analysis and Support.

  • Thorough understanding of RDBMS concepts and ability to write complex SQL queries, Stored procedures, Functions & triggers

  • Proficiency with Java and Python languages

  • Basic experience with database administration (managing access, scheduled jobs, etc.)

  • Basic experience with Google cloud compute services

  • Basic experience with Google Big Query

  • Understand REST API development and design

  • Very strong foundational knowledge in Object-Oriented Design Principles, Data Structures, Algorithms, and Software Engineering

  • CI/CD pipeline experience

  • Experience with code repositories like Git/GitHub

  • Demonstrated experience working with large data sets and a love for working with data

  • Experience writing and maintaining technical documentation

  • Strong communication skills and a constant desire to grow, learn, and explore new things

  • Knowledge of, or strong interest in learning about FinOps and cloud financial management

  • Curious and self-driven – when faced with a new problem is capable of seeking out an answer without lots of help and support

Nice to have
  • Experience with AWS, GCP, Azure cloud services including compute and big data

  • Experience with DataDog analytics platform

  • Experience with Gimmel Notebooks

  • Experience with some visualization tool (e.g. tableau or power BI)

  • Experience managing database upgrades / data migrations

  • Experience optimizing queries

(Required) English


Our Benefits:

Any general requests for consideration of your skills, please