7 answers
Shaniqua
Student
Kalamazoo, Michigan
1
Question
Asked
477 views
What kinds of jobs can I look for with entry level experience in software development (Python)?
I'm currently in the educational field full time, but I'm looking to start getting some experience in the software development realm. I would love a part time entry job that would allow me to start practicing my skills. What job titles should I be looking for? Where do I start?
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7 answers
Adit Sheth
Senior Software Engineer
134
Answers
Bellevue, Washington
Updated
Adit’s Answer
Embarking on Python Careers at the Entry-Level:
By delving into roles where you can utilize your Python abilities, you're making an excellent initial move. Consider starting with positions such as:
Junior Python Developer: Undertake small-scale projects to enhance your coding proficiency.
QA Tester: Streamline software testing processes through automation.
Data Analyst: Leverage Python for data interpretation and graphic representation.
Backend Developer: Bolster web applications using Django or Flask.
Automation Specialist: Compose scripts to optimize workflows.
Guidelines to Kickstart Your Journey:
Develop Your Portfolio: Design and exhibit your projects on GitHub. Consider creating data graphics, basic web apps, or automation scripts.
Begin Modestly: Seek out freelance opportunities, internships, or even voluntary roles to acquire hands-on experience.
Discover Platforms: Explore LinkedIn, Indeed, or specialized platforms like We Work Remotely for Python-related positions.
Advance Your Skills: Utilize cost-effective/free resources such as Coursera or Codecademy to expand your knowledge base.
Remember to be patient, maintain your inquisitiveness, and view each opportunity as a stepping stone towards your ultimate career goal!
By delving into roles where you can utilize your Python abilities, you're making an excellent initial move. Consider starting with positions such as:
Junior Python Developer: Undertake small-scale projects to enhance your coding proficiency.
QA Tester: Streamline software testing processes through automation.
Data Analyst: Leverage Python for data interpretation and graphic representation.
Backend Developer: Bolster web applications using Django or Flask.
Automation Specialist: Compose scripts to optimize workflows.
Guidelines to Kickstart Your Journey:
Develop Your Portfolio: Design and exhibit your projects on GitHub. Consider creating data graphics, basic web apps, or automation scripts.
Begin Modestly: Seek out freelance opportunities, internships, or even voluntary roles to acquire hands-on experience.
Discover Platforms: Explore LinkedIn, Indeed, or specialized platforms like We Work Remotely for Python-related positions.
Advance Your Skills: Utilize cost-effective/free resources such as Coursera or Codecademy to expand your knowledge base.
Remember to be patient, maintain your inquisitiveness, and view each opportunity as a stepping stone towards your ultimate career goal!
Meg Underwood
2
Answers
Updated
Meg’s Answer
Have you ever searched for the word Python on job posting’s websites? Or on a resource like Onetonline.org?
I encourage you to read job descriptions every week and you’ll start noticing patterns of types of jobs and skills/experiences required.
I encourage you to read job descriptions every week and you’ll start noticing patterns of types of jobs and skills/experiences required.
Biplab Panda
Engagement Director
116
Answers
Atlanta, Georgia
Updated
Biplab’s Answer
Hi Shaniqua,
Here are some entry-level, part-time job options for someone with basic software development skills in Python:
1. Junior Python Developer
- Tasks: Writing simple scripts, debugging code, maintaining codebases.
- Where to Find: Freelance websites like Upwork, local job boards, or entry-level job postings.
2. Data Entry and Analysis Assistant
- Tasks: Cleaning and processing data using Python libraries like Pandas.
- Where to Find: Companies with lots of data, especially in finance, healthcare, or logistics.
3. QA Tester with Automation
- Tasks: Writing test scripts using tools like Selenium or pytest.
- Where to Find: Small tech startups or companies expanding QA efforts.
4. Python Scripting Specialist
- Tasks: Automating repetitive tasks, such as file organization, data scraping, or report generation.
- Where to Find: Freelance gigs or small businesses without full-time developers.
5. Tech Support or IT Assistant with Python Skills
- Tasks: Writing simple automation scripts to support IT processes.
- Where to Find: IT departments at universities, schools, or local businesses.
6. Research Assistant (Technical)
- Tasks: Supporting academic or market research with Python for data scraping, analysis, or visualization.
- Where to Find: Universities or research institutes.
7. Freelance Python Developer
- Tasks: Small-scale projects like creating web scrapers, data parsers, or basic web applications.
- Where to Find: Upwork, Fiverr, Toptal, or LinkedIn.
Here are some entry-level, part-time job options for someone with basic software development skills in Python:
1. Junior Python Developer
- Tasks: Writing simple scripts, debugging code, maintaining codebases.
- Where to Find: Freelance websites like Upwork, local job boards, or entry-level job postings.
2. Data Entry and Analysis Assistant
- Tasks: Cleaning and processing data using Python libraries like Pandas.
- Where to Find: Companies with lots of data, especially in finance, healthcare, or logistics.
3. QA Tester with Automation
- Tasks: Writing test scripts using tools like Selenium or pytest.
- Where to Find: Small tech startups or companies expanding QA efforts.
4. Python Scripting Specialist
- Tasks: Automating repetitive tasks, such as file organization, data scraping, or report generation.
- Where to Find: Freelance gigs or small businesses without full-time developers.
5. Tech Support or IT Assistant with Python Skills
- Tasks: Writing simple automation scripts to support IT processes.
- Where to Find: IT departments at universities, schools, or local businesses.
6. Research Assistant (Technical)
- Tasks: Supporting academic or market research with Python for data scraping, analysis, or visualization.
- Where to Find: Universities or research institutes.
7. Freelance Python Developer
- Tasks: Small-scale projects like creating web scrapers, data parsers, or basic web applications.
- Where to Find: Upwork, Fiverr, Toptal, or LinkedIn.
Adrian z Ellis
Merchant Representative
41
Answers
Hermitage, Pennsylvania
Updated
Adrian’s Answer
Website Developer, Network Administrator, Computer repair and IT regarding python via application
Hakeem Ola Saka
Freelancer
73
Answers
Maryland Heights, Missouri
Updated
Hakeem Ola’s Answer
With entry-level experience in software development and Python, you can explore a variety of job opportunities. Python's versatility makes it valuable across industries, and many positions welcome entry-level talent. Here are some roles to consider:
1. Software Developer/Engineer
Description: Develop, test, and maintain software applications.
Skills Needed: Basic programming, understanding of software development lifecycle (SDLC), and version control (e.g., Git).
Industries: Tech companies, startups, IT departments.
2. Web Developer
Description: Build and maintain web applications using frameworks like Django or Flask.
Skills Needed: HTML, CSS, JavaScript, and basic understanding of web development.
Industries: E-commerce, marketing, and SaaS companies.
3. Data Analyst
Description: Analyze data and create visualizations to support decision-making.
Skills Needed: Data manipulation using libraries like Pandas and NumPy, data visualization tools like Matplotlib or Seaborn, and basic SQL.
Industries: Finance, healthcare, marketing, and more.
4. Machine Learning Intern/Junior ML Engineer
Description: Assist in developing machine learning models or algorithms.
Skills Needed: Python libraries like Scikit-learn or TensorFlow, and understanding of basic ML concepts.
Industries: Tech, AI startups, and research labs.
5. Quality Assurance (QA) Engineer
Description: Write scripts to test software applications for bugs and errors.
Skills Needed: Python testing frameworks like Pytest or Unittest.
Industries: Software companies, game development, and IT services.
6. Scripting/Automation Engineer
Description: Automate repetitive tasks or workflows using Python.
Skills Needed: Familiarity with APIs, scripting for tasks like data scraping or file handling.
Industries: IT, finance, and logistics.
7. Junior DevOps Engineer
Description: Support infrastructure and automation for software deployment.
Skills Needed: Python scripting, understanding of CI/CD pipelines, and exposure to tools like Docker and Kubernetes.
Industries: Tech companies, cloud service providers.
8. Game Developer (Entry-level)
Description: Write scripts for game logic or development tools.
Skills Needed: Game engines like Pygame or integration with other platforms.
Industries: Gaming studios and indie developers.
9. IT Support Specialist
Description: Use Python to automate troubleshooting tasks or handle system operations.
Skills Needed: Basic understanding of systems and networks, scripting for IT tasks.
Industries: Corporate IT departments, consulting firms.
10. Bioinformatics Assistant
Description: Work with research teams analyzing biological data using Python.
Skills Needed: Python libraries like Biopython, and interest in biology.
Industries: Healthcare, research institutions, pharmaceuticals.
How to Enhance Your Job Prospects
Projects: Build a portfolio showcasing projects like a web app, data analysis report, or automation scripts.
Certifications: Earn credentials like "Python for Everybody" or "Google IT Automation with Python" on Coursera.
Networking: Attend coding meetups, join LinkedIn groups, or participate in hackathons.
Freelancing: Gain experience through platforms like Upwork or Fiverr.
Would you like assistance crafting a resume, portfolio, or preparing for job interviews in any of these areas?
1. Software Developer/Engineer
Description: Develop, test, and maintain software applications.
Skills Needed: Basic programming, understanding of software development lifecycle (SDLC), and version control (e.g., Git).
Industries: Tech companies, startups, IT departments.
2. Web Developer
Description: Build and maintain web applications using frameworks like Django or Flask.
Skills Needed: HTML, CSS, JavaScript, and basic understanding of web development.
Industries: E-commerce, marketing, and SaaS companies.
3. Data Analyst
Description: Analyze data and create visualizations to support decision-making.
Skills Needed: Data manipulation using libraries like Pandas and NumPy, data visualization tools like Matplotlib or Seaborn, and basic SQL.
Industries: Finance, healthcare, marketing, and more.
4. Machine Learning Intern/Junior ML Engineer
Description: Assist in developing machine learning models or algorithms.
Skills Needed: Python libraries like Scikit-learn or TensorFlow, and understanding of basic ML concepts.
Industries: Tech, AI startups, and research labs.
5. Quality Assurance (QA) Engineer
Description: Write scripts to test software applications for bugs and errors.
Skills Needed: Python testing frameworks like Pytest or Unittest.
Industries: Software companies, game development, and IT services.
6. Scripting/Automation Engineer
Description: Automate repetitive tasks or workflows using Python.
Skills Needed: Familiarity with APIs, scripting for tasks like data scraping or file handling.
Industries: IT, finance, and logistics.
7. Junior DevOps Engineer
Description: Support infrastructure and automation for software deployment.
Skills Needed: Python scripting, understanding of CI/CD pipelines, and exposure to tools like Docker and Kubernetes.
Industries: Tech companies, cloud service providers.
8. Game Developer (Entry-level)
Description: Write scripts for game logic or development tools.
Skills Needed: Game engines like Pygame or integration with other platforms.
Industries: Gaming studios and indie developers.
9. IT Support Specialist
Description: Use Python to automate troubleshooting tasks or handle system operations.
Skills Needed: Basic understanding of systems and networks, scripting for IT tasks.
Industries: Corporate IT departments, consulting firms.
10. Bioinformatics Assistant
Description: Work with research teams analyzing biological data using Python.
Skills Needed: Python libraries like Biopython, and interest in biology.
Industries: Healthcare, research institutions, pharmaceuticals.
How to Enhance Your Job Prospects
Projects: Build a portfolio showcasing projects like a web app, data analysis report, or automation scripts.
Certifications: Earn credentials like "Python for Everybody" or "Google IT Automation with Python" on Coursera.
Networking: Attend coding meetups, join LinkedIn groups, or participate in hackathons.
Freelancing: Gain experience through platforms like Upwork or Fiverr.
Would you like assistance crafting a resume, portfolio, or preparing for job interviews in any of these areas?
Yagnesh Gandhi
Azure Cloud Architect
6
Answers
Cumming, Georgia
Updated
Yagnesh’s Answer
Explore roles such as junior Python developer, entry-level software engineer, Python intern, data analyst (using Python), or QA tester with Python skills. Begin by creating small projects like web scrapers or automation scripts to showcase on GitHub. Check platforms like LinkedIn, Indeed, and Upwork for part-time opportunities. Learning key libraries like pandas, Flask, or TensorFlow will boost your chances!
Focus on building Python projects, enhancing key skills, and networking on LinkedIn to connect with entry-level opportunities.
Yagnesh recommends the following next steps:
Atul Bhankharia
Sales
477
Answers
Mount Laurel, New Jersey
Updated
Atul’s Answer
Dive into the world of education where numerous companies provide education-related software.
Hone your coding skills by creating software, showcasing your proficiency in Python.
Remember, it's all about casting a wide net - reach out to as many firms as possible to share your resume.
Don't forget to utilize LinkedIn as well.
Hone your coding skills by creating software, showcasing your proficiency in Python.
Remember, it's all about casting a wide net - reach out to as many firms as possible to share your resume.
Don't forget to utilize LinkedIn as well.