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Data Engineer

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PayPal

24d ago

  • Job
    Full-time
    Junior Level
  • Data
    IT & Cybersecurity
  • Chicago

AI generated summary

  • You need 1+ years of experience, SQL and Python skills, knowledge of PySpark or Pandas, familiarity with data warehousing tools, and expertise in data modeling and optimization.
  • You will implement SDLC tasks, ensure data accuracy, monitor system performance, troubleshoot issues, document workflows, and participate in code reviews while staying updated on data engineering trends.

Requirements

  • 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • Familiarity in SQL and scripting languages such as Python, with experience working with relational databases.
  • Familiarity in PySpark, Pandas or other data processing libraries.
  • Familiarity with data warehousing concepts and tools, such as AWS Redshift, Google BigQuery, or Snowflake, and experience optimizing performance for large-scale data processing.
  • Experience with data modeling, schema design, and optimization techniques for scalability.

Responsibilities

  • Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff
  • Follows well-established internal conventions and standard procedures
  • Understands internal standards & processes and applies them to make technical decisions
  • Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions
  • May contribute to code & design reviews
  • Ensure data accuracy and integrity through automated data quality checks and validation processes
  • Monitor system performance, identify bottlenecks, and implement optimizations to improve scalability and efficiency
  • Troubleshoot and resolve data-related issues quickly to minimize impact on downstream systems
  • Create and maintain clear documentation for pipeline design, workflows, and processes
  • Participate in design and code reviews to uphold best practices and coding standards
  • Stay current on emerging technologies and data engineering trends to continuously improve our data infrastructure

FAQs

What is the role of the Data Engineer at PayPal?

The Data Engineer at PayPal will design, build, and maintain scalable data pipelines and ETL processes that move and transform data from multiple sources into our data warehouse, enabling business insights and data-driven decisions.

What qualifications are needed for this position?

The position requires 1+ years of relevant experience and a Bachelor’s degree, or any equivalent combination of education and experience.

What technical skills are preferred for this role?

Preferred qualifications include familiarity with SQL and scripting languages such as Python, experience with data processing libraries like PySpark and Pandas, and knowledge of data warehousing concepts and tools such as AWS Redshift, Google BigQuery, or Snowflake.

What kind of work environment does PayPal offer?

PayPal offers a balanced hybrid work model, which includes 3 days in the office for effective collaboration and 2 days that can be either at the PayPal office or from home.

What kind of benefits does PayPal provide?

PayPal offers a variety of benefits including a flexible work environment, employee share options, health and life insurance, and resources to support financial, physical, and mental health.

Is there an opportunity for performance bonuses in this role?

Yes, the total compensation for this position may include an annual performance bonus or other incentive compensation.

How does PayPal approach diversity and inclusion?

PayPal is committed to providing equal employment opportunities and creating an inclusive environment where all employees feel valued and included, reflecting the diversity of the communities they serve.

How can I stay informed about job openings at PayPal?

You can join PayPal's Talent Community to receive general requests for consideration of your skills and stay updated on job openings.

Does PayPal provide accommodations for individuals with disabilities?

Yes, PayPal provides reasonable accommodations for qualified individuals with disabilities to ensure equal opportunity in the application process.

What is the expected salary range for the Data Engineer position?

The U.S. national annual pay range for this role is between $100,500 and $173,250, depending on various factors including work location, skills, and experience.

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PayPal

Technology
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

PayPal is a prominent financial technology company that facilitates online payments and money transfers for individuals and businesses. Their fundamental objective is to empower seamless and secure digital transactions, enabling people to manage their financial lives more efficiently in an increasingly interconnected world. At its core, PayPal strives to be the bridge that connects people with the global economy, offering accessible and convenient solutions to move and manage money, ultimately promoting financial inclusion and empowerment.