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Python Junior Jobs in Castalia, NC (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Raleigh, NC · On-site

$99K - $131K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript ...

ANS

Designer II - Structural

Raleigh, NC · On-site

$63K - $71K/yr

This role involves collaborating with structural engineers and other disciplines, mentoring junior ... Excel preferred, and VBA and Python a plus for design automation. * Working knowledge of structural ...

NC SECU

Security Engineer - IAM

Raleigh, NC

Additionally, they will actively collaborate with cross-functional teams, mentor junior engineers ... Ability to leverage and understand scripting languages such as Python, PowerShell, or Bash for ...

ANS

Designer II - Structural

Raleigh, NC · On-site

$63K - $71K/yr

This role involves collaborating with structural engineers and other disciplines, mentoring junior ... Excel preferred, and VBA and Python a plus for design automation. * Working knowledge of structural ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Raleigh, NC · On-site

$77K - $202K/yr

... languages such as Python and C++ to build robust data models - Managing data pipelines and ... junior team members and fostering a collaborative work environment What You Must Have - At least a ...

New

Pwc

AI Engineer

Raleigh, NC · On-site

$55K - $187K/yr

... using Python and TensorFlow - Integrating data from diverse sources to support AI and machine ... junior team members in AI implementation and data engineering practices What You Must Have - At ...

Grover Gaming

Test Automation Architect

Raleigh, NC · On-site

Support junior Engineers to accelerate test automation by training, guiding, and solving technical ... Advanced experience in one or more programming languages: C#, Python, JavaScript, HTML5 etc.

Qualcomm

Sr Software Engineer, AI Tools - Quantizer

Raleigh, NC · On-site

$119K - $157K/yr

Work independently and lead junior team members. Your decision-making will impact your direct area ... Python and/or C/C++ * Strong software development skills (e.g. data structure and algorithm design ...

Dlapiper

Sr Data Analyst

Raleigh, NC · Hybrid

$83K - $105K/yr

... junior analysts, and collaborates with stakeholders to prioritize business needs and deliver actionable insights. Key skills include proficiency in SQL, Python, DAX, advanced data analysis, and ...

New

Lnw

Test Automation Architect

Raleigh, NC · On-site

Support junior Engineers to accelerate test automation by training, guiding, and solving technical ... Advanced experience in one or more programming languages: C#, Python, JavaScript, HTML5 etc.

Collibra

Senior Product Security Engineer

Raleigh, NC

$168K - $210K/yr

A developing or established leader who matures security practices and mentors junior teammates ... Possess a working knowledge of Python, Java, and/or JavaScript software development languages

Collibra

Senior Product Security Engineer

Raleigh, NC · On-site

$168K - $210K/yr

A developing or established leader who matures security practices and mentors junior teammates ... Possess a working knowledge of Python, Java, and/or JavaScript software development languages

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Showing results 21-40

All JobsPython JobsPython Junior JobsPython Junior Jobs in Castalia, NC

Python Junior information

See Castalia, NC salary details

$20.6K

$76.4K

$118K

How much do python junior jobs pay per year?

As of Aug 8, 2026, the average yearly pay for python junior in Castalia, NC is $76,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $74,700.00 per year, depending on experience, location, and employer.

How do I get a job in Python junior with no experience?

To secure a junior Python developer position with no experience, focus on building a strong foundation by completing online courses, creating a portfolio of small projects, and learning key tools like Git and basic debugging. Gaining practical experience through internships, volunteering, or contributing to open-source projects can also improve your chances. Demonstrating a willingness to learn and problem-solving skills is essential during interviews.

What are some common challenges faced by Python junior developers during their first year on the job?

Python Junior developers often encounter challenges such as understanding large codebases, managing version control with tools like Git, and adapting to team workflows. They may also need to improve their debugging skills and learn to write clean, maintainable code that meets team standards. Regular communication with senior developers and proactively seeking feedback can help overcome these hurdles and accelerate professional growth.

What is the difference between Python Junior vs Python Developer?

AspectPython JuniorPython Developer
Required CredentialsBasic programming knowledge, often a diploma or bootcampMore experience, often a degree in CS or related field
Work EnvironmentEntry-level projects, supervised tasksFull project responsibilities, collaborative teams
Industry UsageInternships, junior roles in tech companiesMid-level roles across industries like finance, tech, healthcare

The main difference between a Python Junior and a Python Developer lies in experience and responsibilities. Python Juniors typically have basic skills and work under supervision, while Python Developers handle more complex tasks independently. Employers seek Python Juniors for entry-level positions, with opportunities to grow into full Python Developers as skills develop.

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

To thrive as a Python Junior, you need a good grasp of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or a related field. Familiarity with version control systems like Git, code editors (e.g., VS Code), and basic understanding of frameworks such as Django or Flask is often expected. Strong communication, willingness to learn, and teamwork are important soft skills that set candidates apart. These skills and qualities are essential for effectively contributing to projects, collaborating with team members, and growing within a technical environment.

What is a Python junior?

Python Juniors are entry-level software developers who specialize in using the Python programming language. They typically have foundational knowledge of Python and basic software development principles, and may work on tasks such as writing simple scripts, debugging code, or supporting more experienced developers on larger projects. Python Juniors are often recent graduates or individuals transitioning into software development, and their role offers opportunities to learn and grow their skills in real-world settings.

Are Python juniors still in demand in 2026?

Python junior developers are expected to remain in demand in 2026 due to Python's widespread use in data analysis, web development, and automation. Entry-level roles often require knowledge of frameworks like Django or Flask and basic understanding of version control tools such as Git. Continuous learning and familiarity with popular libraries can enhance job prospects in this field.
What cities near Castalia, NC are hiring for Python Junior jobs? Cities near Castalia, NC with the most Python Junior job openings:
Python Junior jobs near you

Lead AI and Data Science Engineer II

Deloitte

Raleigh, NC • On-site

$99K - $131K/yr

Full-time

Posted 9 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118700 to $218600.

Qualifications:

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ski...

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