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# Software Engineer

- **Company:** PayPal
- **Location:** Chicago, IL, United States (Remote available)
- **Salary:** $108,077.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Amazon Web Services, Big Data, Unix, Continuous Integration, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Design Documents, Python (Programming Language), Software Engineering, SQL Databases, Data Processing, Pandas, Pyspark, Information Technology, Data Analytics, Google Bigquery, Data Pipelines, Amazon Redshift
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=07842d39cbfe22b6

## About the Role

Do you have experience in UNIX?, Do you have a Bachelor's degree?, Minimum Requirements: Bachelor's degree, or foreign equivalent, in Computer Science, Software Engineering, or a closely related field such as Data Analytics plus two years of progressively responsible experience in the job offered or a related occupation.

Special Skill Requirements:

 1. Unix/Linux operating systems (2 years)

 2. SQL (2 years)

 3. Python (2 years)

 4. PySpark or Pandas (1 year)

 5. Google BigQuery or AWS Redshift (1 year)

 6. Experience optimizing performance for large-scale data processing (2 years)

 7. CI/CD (2 years)

 8. AWS or GCP (1 year)

Additional Responsibilities & Preferred Qualifications:

EOE, including disability/vets.

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is

## Description

Job Duties: Design and develop secure, high-performing data integration and ETL processes, participating in all stages of development from analysis to production releases. Build and maintain robust data pipelines and ETL processes to ingest, transform, and load data from various sources into data warehouse, ensuring scalability and efficiency. Implement automated data quality checks and validation processes to ensure data integrity and accuracy at scale. Create and maintain design documents and documentation of data pipelines, systems, and processes. Ensure the reliability, availability, and scalability of data systems, monitoring performance and optimizing as needed to handle increasing data volumes. Troubleshoot data-related issues, identify root causes, and implement technical solutions to minimize impact on data processing. Collaborate with product managers, analysts, and other stakeholders to understand data requirements and develop technical solutions that meet business
needs while accommodating large volumes of data. Actively participate in design and software code reviews, rapidly iterating and pushing code through development stages. Stay current with emerging technologies and trends in data engineering, recommending and implementing improvements as necessary to support scalability and growth. Partial telecommuting permitted from within a commutable distance.


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