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PySpark Developer

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: TELUS Digital
Full Time, Seasonal/Temporary position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas:
Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Responsibilities
  • Develop and maintain scalable data pipelines using Python and PySpark.
  • Collaborate with data engineers and data scientists to understand and fulfill data processing needs.
  • Optimize and troubleshoot existing PySpark applications for performance improvements.
  • Write clean, efficient, and well-documented code following best practices.
  • Participate in design and code reviews.
  • Ensure data integrity and quality throughout the data lifecycle.
  • Stay current with the latest industry trends and technologies in big data and cloud computing.
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Python Developer with expertise in PySpark.
  • Strong understanding of big data technologies and frameworks.
  • Experience with distributed computing and parallel processing.
  • Proficiency in SQL and experience with database systems.
  • Solid understanding of data engineering concepts and best practices.
  • Ability to work in a fast-paced environment and handle multiple projects simultaneously.
  • Excellent problem-solving and debugging skills.
  • Strong communication and collaboration abilities.
Educational Background
  • Bachelor's degree in IT, computer science, software engineering, or equivalent experience.
Job Details
  • Seniority level:
    Mid-Senior level
  • Employment type:

    Full-time
  • Job function:
    Consulting
  • Industries: IT Services and IT Consulting
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