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Python Programming Jobs in Norfolk, VA (NOW HIRING)

Varsity Tutors

Python Tutor

Norfolk, VA · Remote

$40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Virginia Beach, VA · Remote

$40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Dollartree

AI Developer

Chesapeake, VA · On-site

The ideal candidate is a senior engineer with 8+ years of professional software development experience, deep proficiency in Python, and hands-on experience building and deploying production AI ...

Dollartree

AI Developer

Chesapeake, VA · On-site

The ideal candidate is a senior engineer with 8+ years of professional software development experience, deep proficiency in Python, and hands-on experience building and deploying production AI ...

Dollar Tree

AI Developer

Chesapeake, VA · On-site

The ideal candidate is a senior engineer with 8+ years of professional software development experience, deep proficiency in Python, and hands-on experience building and deploying production AI ...

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All JobsPython Programming JobsPython Programming Jobs in Norfolk, VA

Python Programming information

See Norfolk, VA salary details

$12

$56

$83

How much do python programming jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for python programming in Norfolk, VA is $56.72, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.42 per hour, depending on experience, location, and employer.

Are Python still in demand in 2026?

Python programming remains highly in demand in 2026 due to its widespread use in data science, web development, automation, and artificial intelligence. Employers value Python skills, and the language's versatility ensures continued relevance across various industries and job roles.

What are some common challenges Python programmers face when working on collaborative projects?

Python programmers often encounter challenges like maintaining code consistency, managing dependencies, and merging code changes when working with a team. Adhering to coding standards (such as PEP 8) and using tools like version control systems (e.g., Git) are crucial to streamline collaboration. Regular code reviews and clear documentation also help prevent misunderstandings and ensure smooth integration of each team member's contributions.

Are Python programmers still in demand?

Python programmers are currently in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in automation, machine learning, and web development. The demand is expected to grow as organizations increasingly adopt Python for their software solutions and data analysis needs.

What is the difference between Python Programming vs Data Analyst?

AspectPython ProgrammingData Analyst
Required SkillsProficiency in Python, scripting, algorithmsData interpretation, Excel, SQL, basic Python
Work EnvironmentSoftware development, coding projectsData analysis, reporting, business insights
Industry UsageTech, finance, automationMarketing, finance, healthcare

Python Programming involves writing code to develop software, automate tasks, and build applications, requiring strong coding skills. Data Analysts focus on interpreting data, creating reports, and providing insights, often using Python as a tool. While Python Programming emphasizes coding expertise, Data Analysts combine analytical skills with some programming knowledge. Both roles often overlap, especially when Data Analysts use Python for data manipulation and analysis.

Can I learn Python in 3 hours?

Python programming jobs typically require a solid understanding of core concepts, which cannot be fully learned in just three hours. While beginners can grasp basic syntax quickly, becoming proficient for a job usually takes weeks or months of consistent practice and learning. Short timeframes are insufficient for developing the skills needed for most Python-related roles.

What is Python programming?

Python programming refers to writing code in the Python language, a versatile and high-level programming language known for its readability and simplicity. Python is widely used for web development, data analysis, artificial intelligence, scientific computing, and automation. Its large standard library and active community make it a popular choice for both beginners and experienced developers. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Because of its simple syntax and vast ecosystem, Python is a great starting point for anyone looking to learn programming or develop complex applications.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, knowledge of data structures and algorithms, and often a degree in computer science or a related field. Familiarity with popular libraries like Pandas, NumPy, and frameworks such as Django or Flask, along with experience using version control systems like Git, is typically required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills that set top programmers apart. These competencies ensure efficient code development, successful collaboration, and the delivery of robust software solutions.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks like scripting, data processing, or web development.
What cities near Norfolk, VA are hiring for Python Programming jobs? Cities near Norfolk, VA with the most Python Programming job openings:
Python Programming jobs near you

Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Posted 28 days ago

Job description

Python Data Scientist / Data Engineer

Python Data Scientist / Data Engineer (PySpark, ETL, Notebooks, Databricks) Summary We're hiring a versatile Python Data Scientist / Data Engineer to design, implement, and productionize scalable data pipelines and analytics workflows.

The role requires deep PySpark experience, strong ETL design, experience with interactive notebooks, and familiarity with Databricks or similar managed Spark platforms.

Key responsibilities

* Design and build robust ETL/ELT pipelines using PySpark for batch and near-real-time workflows.

* Develop, optimize, and schedule Spark jobs on Databricks (or equivalent Spark environment).

* Work with data scientists and product teams to transform business requirements into data models, features, and dashboards.

* Implement data validation, monitoring, and lineage to ensure data quality and reliability.

* Create reproducible notebooks for exploration, prototyping, and handoff to production pipelines.

* Tune performance of Spark jobs (memory, partitioning, shuffle reduction) and optimize cluster usage.

* Collaborate on building CI/CD for data workflows, including tests for data transformations and schema changes.

* Document architecture, ETL processes, and best practices.

Required qualifications

* 3+ years experience in data engineering, data science, or analytics engineering roles.

* Strong Python programming and hands-n PySpark experience developing data transformations at scale.

* Experience with Databricks (jobs, clusters, Delta Lake) or equivalent managed Spark platforms.

* Solid understanding of ETL/ELT patterns, data modeling, and data warehousing concepts.

* Comfortable using Jupyter or Databricks notebooks for exploration and prototyping.

* Experience with SQL and working knowledge of cloud data storage systems (S3, ADLS) and databases.

* Familiarity with orchestration tools (Airflow, Prefect, Dagster) and awareness of CI/CD for data pipelines.