Colleagues, implementing a well-defined, forward-thinking career development plan can boost your career and income growth over a 30-year life cycle. “The global Python market is projected to grow rapidly, reaching USD $100.6 million by 2030, with a strong revenue CAGR of 44.8% from 2022 to 2030. Growth is fueled by Python's increasing use in web and software development, data analytics, Internet of Things (IoT), and Industry 4.0 applications.” according to Emergen Research. Making modest investments in your professional training and certification will reward you with greatly enhanced income potential.
Assumptions
Duration: 30-year career lifecycle (e.g. age 25-55)
Salary: $112,382/year - BuiltIn (compensation will vary by location - we will use a US average for our analysis)
Education Level: This model is based upon the individual having a BS/BA degree. A MS/MA degree adds an extra 5%-10% to annual income
Training & Certification: 5%-10% income lift/year
Salary - Annual Increase per CPI Inflation: 2.5%/year
Base Case: Junior Level - age 25/1st certification
Intermediate Case: Senior Individual Contributor - age 30/2nd certification
Advanced Case: Mid-Upper Management - age 35/3rd certification
Expert Case: Technical Refresher - age 40-45/4th certification
Junior Level (5 years of experience)
Title(s): Junior Python Developer, Python Intern/Associate, Data Engineering Assistant
Base income: $130,251/year
Sample Training & Certs: Introduction to Python, Python for Everybody Specialization, Understanding Python Developer, Complete Python Bootcamp From Zero to Hero in Python
Intermediate (10 years of experience)
Title(s): Python Developer, Python Backend Engineer, Data Engineer, Full-Stack Developer (Python/JavaScript)
Base income: $157,683/year
Sample Training & Certs: Applied Python Developer Specialization, IBM Python Developer Professional Certificate, Programming for Data Science with Python
Advanced (15 years of experience)
Title(s): Senior Python Developer, Python DevOps Engineer, Backend Architect, Machine Learning Engineer
Base income: $192,676/year
Sample Training & Certs: Practical Python for DevOps Engineers, Generative AI for Python Developers, Python Data Structures
Expert (Executive-Refresher) (20 years of experience)
Title(s): Principal Software Engineer, Director of Software Engineering, Chief Technology Officer (CTO)
Base income: $314,632/year
Sample Training & Certs: Computational Thinking using Python, Python Developer: Foundations using R Specialization, Python for Data Science, AI & Development, Machine Learning with Python
Income Comparison
Base Case: Junior Level - $130,251/year
Intermediate Case: Senior Individual Contributor - $157,683/year
Advanced Case: Mid-Upper Management - $192,676/year
Expert Case: Technical Refresher - $314,632/year
Note: For a more comprehensive roster of Python-related training and certification programs see Python Software Foundation, Coursera, edX, InformIT (Pearson), Udacity, Udemy. Python on GitHub also offers vast technical resources.
Python Specializations, Master Classes and Certifications
Get started today (teams & execs are welcome).
Recommended Reading: See the “Transformative Innovation” book series
1 - AI Software Engineer: ChatGPT, Bard & Beyond (Audible) (Kindle)
2 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)
3 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle)
4 - The Race for Quantum Computing (Audible) (Kindle)
5 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle)
Much success in your Python Development career journey, Lawrence E. Wilson - Online Learning Central (share with colleagues & friends)
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