... Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML ... The main lanes include: Entry-level to mid-level software engineering roles (especially backend ...
... Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML ... The main lanes include: Entry-level to mid-level software engineering roles (especially backend ...
Pharma Technology Consultant Senior Associate
Buffalo, NY · On-site
$77K - $202K/yr
... Utilizing Python and common LLM development frameworks - Experience in Machine Learning and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...
Pharma Technology Consultant Senior Associate
Buffalo, NY · On-site
$77K - $202K/yr
... Utilizing Python and common LLM development frameworks - Experience in Machine Learning and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...
Entry Level Python information
See Buffalo, NY salary details
$12.81 - $19.24
1% of jobs
$19.24 - $25.68
0% of jobs
$25.68 - $32.11
2% of jobs
$32.11 - $38.55
5% of jobs
$38.55 - $44.98
11% of jobs
$46.88 is the 25th percentile. Wages below this are outliers.
$44.98 - $51.42
18% of jobs
The median wage is $54.78 / hr.
$51.42 - $57.85
24% of jobs
$62.77 is the 75th percentile. Wages above this are outliers.
$57.85 - $64.29
18% of jobs
$64.29 - $70.72
13% of jobs
$70.72 - $77.16
5% of jobs
$77.16 - $83.59
3% of jobs
$12
$56
$83
How much do entry level python jobs pay per hour?
As of May 29, 2026, the average hourly pay for entry level python in Buffalo, NY is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.
What Are Entry Level Python Jobs?
Entry-Level Python positions can be found in multiple industries because Python is a general-purpose language. The company you work for may shape your development, but your general responsibilities include programming software, writing code, and building web applications. Your duties have you working hands-on with Python to analyze, identify, and develop sourced data. You program efficient approaches to process data and test and troubleshoot systems. In an entry level Python position, you work under higher level programmers and assist with improvements while gaining valuable experience to enhance your skills.
What are the key skills and qualifications needed to thrive as an Entry Level Python Developer, and why are they important?
To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or related fields. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to development environments such as PyCharm or VS Code are often expected. Strong communication, eagerness to learn, and teamwork skills help you adapt quickly and collaborate effectively with peers. These skills ensure you can contribute to projects, learn from feedback, and grow within dynamic software development teams.
What are some common challenges faced by entry level Python developers in their first role?
Entry level Python developers often encounter challenges such as understanding legacy codebases, adapting to team coding standards, and effectively using version control systems like Git. Additionally, they may need to quickly learn new frameworks or tools relevant to the project. Collaborating with more experienced developers and asking questions is key to overcoming these hurdles and growing technical skills.
What does an Entry Level Python developer do?
An Entry Level Python developer is responsible for writing, testing, and debugging code using the Python programming language. They typically assist in building and maintaining software applications, automating simple tasks, and supporting senior developers in various projects. Entry-level roles are ideal for those new to the field and often focus on learning best coding practices and gaining real-world experience through hands-on projects.
What is the difference between Entry Level Python vs Data Analyst?
| Aspect | Entry Level Python | Data Analyst |
|---|---|---|
| Required Skills | Basic Python programming, problem-solving | Data visualization, SQL, Excel, some Python |
| Certifications | Python for Beginners, Entry-Level Programming | Google Data Analytics, Microsoft Excel Certification |
| Work Environment | Tech companies, startups, software teams | Business, finance, marketing departments |
| Industry Usage | Software development, automation, scripting | Data analysis, reporting, decision-making |
Entry Level Python roles focus on basic programming skills and scripting, often within tech environments. Data Analysts combine Python with data visualization and SQL skills to interpret data for business insights. While both roles require some programming knowledge, Data Analysts typically have broader skills in data handling and reporting, making them more versatile in data-driven industries.
More about Entry Level Python jobs
What are the most commonly searched types of Python jobs in Buffalo, NY? The most popular types of Python jobs in Buffalo, NY are:
What are popular job titles related to Entry Level Python jobs in Buffalo, NY? For Entry Level Python jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Entry Level Python jobs in Buffalo, NY look for? The top searched job categories for Entry Level Python jobs in Buffalo, NY are:
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What cities near Buffalo, NY are hiring for Entry Level Python jobs? Cities near Buffalo, NY with the most Entry Level Python job openings:
Other
Posted 15 days ago
Job description
Turn a Tech Layoff or a Career Gap Into a Reset for a Better Career Laid Off in Tech? Rebuild Momentum With a Placement Process Returning to Tech After a Break? Worried About a Gap?
A layoff or a Career Gap can shake your confidence—even if you did nothing wrong. Downsizing, reorganizations, and budget cuts are business decisions, not personal failures. The tech industry still needs skilled developers — you just need the right platform to re-enter.
A career gap doesn't disqualify you — outdated skills do. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn't translating into interviews. The truth is that hiring has shifted.
Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you've been out for 3–6+ months, that gap can become an extra filter—unless you deliberately rebuild momentum. We're actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI.
Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Client, Client, Wayfair, and others), with offers in the $95k–$154k range depending on role and stack. Why laid-off candidates often struggle (even with experience) After a layoff, two things happen: Your skills may be solid, but your keywords and tools may be slightly behind the market.
Your interview performance may drop because stress makes you second-guess. Also, employers increasingly expect hybrid capability: not just "I coded,” but "I can build + deploy + collaborate + document + explain.” That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand.
The main lanes include: Entry-level to mid-level software engineering roles (especially backend/full stack) Java full stack roles (enterprise stability) Java/Python developer roles (flexibility across teams) DevOps/Cloud roles (automation, pipelines, reliability) Data roles (analytics → engineering → ML/AI) why placement support matters rebuild a job-ready portfolio fast adjust your resume and LinkedIn for ATS practice interviews under real conditions get scheduled interviews through structured outreach A layoff recovery plan that actually works A smart recovery plan is not "apply more.” It's: Re-stack: align skills to today's demand (Java/full stack/devops or data/ML). Rebuild proof: projects that look like work, not homework. Rehearse interviews: DSA, system design, SQL, behavioral storytelling.
Re-enter pipelines: structured outreach that leads to scheduled interviews. If you follow that with consistent coaching and iteration, your layoff becomes a pivot point—not a pause. If you're ready to stop refreshing job boards and start rebuilding momentum with support, begin here: If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact form:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?
Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem. In tech, it's not only what you know—it's how you position it and who guides you that determines how quickly you return stronger.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.