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Senior Python Engineer Jobs in North Carolina (NOW HIRING)

Mid to senior About the role V-Assistant is a conversational AI system running in production on ... Python 3.12, FastAPI, Pydantic v2, SQLAlchemy 2 with Alembic, async psycopg/asyncpg, LangChain and ...

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Senior Python Engineer information

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$50K

$129K

$177.2K

How much do senior python engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior python engineer in North Carolina is $129,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $148,600.00 per year, depending on experience, location, and employer.

Are senior Python engineers in demand?

Senior Python engineers are highly in demand due to the language's widespread use in web development, data analysis, machine learning, and automation. Companies seek experienced developers with strong problem-solving skills and knowledge of frameworks like Django or Flask, making this a competitive and growing field.

What are the key skills and qualifications needed to thrive as a senior Python engineer, and why are they important?

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What does a senior Python engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the common challenges senior Python engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.
What are the most commonly searched types of Python Engineer jobs in North Carolina? The most popular types of Python Engineer jobs in North Carolina are:
What are popular job titles related to Senior Python Engineer jobs in North Carolina? For Senior Python Engineer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Senior Python Engineer jobs in North Carolina look for? The top searched job categories for Senior Python Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Senior Python Engineer jobs? Cities in North Carolina with the most Senior Python Engineer job openings:

$49 - $67.75/hr

Full-time

Re-posted 19 days ago


Job description


Our Client is seeking a highly skilled and experienced Senior PySpark Developer to join our dynamic data engineering team. This role is ideal for a motivated professional with a strong background in big data technologies, ETL processes, and database systems. The successful candidate will play a key role in designing, developing, and optimizing data pipelines and analytics solutions that support critical business operations.
Key Responsibilities:
  • Design, develop, and maintain scalable data pipelines using PySpark and Spark SQL.
  • Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver robust solutions.
  • Optimize and troubleshoot complex ETL workflows and data transformation processes.
  • Write efficient SQL queries for data extraction, transformation, and loading.
  • Ensure data quality, integrity, and compliance with enterprise standards.
  • Participate in code reviews, testing, and deployment activities.
  • Monitor and maintain production workflows, including job scheduling and performance tuning.

Required Skills & Qualifications:
  • 5+ years of experience in data engineering or software development.
  • Strong proficiency in PySpark, Python, and Spark SQL.
  • Solid experience with SQL and relational database systems.
  • Proven expertise in ETL development and data pipeline orchestration.
  • Familiarity with job scheduling tools; Autosys experience is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration abilities.

Preferred Qualifications:
  • Experience working in the financial services industry.
  • Familiarity with cloud platforms and big data ecosystems