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Entry Level Python Jobs in Tampa, FL (NOW HIRING)

Elutions

Domain Engineer

Tampa, FL · On-site

... ** Entry Level Candidates are Encouraged to Apply!!!** General Responsibilities: * Conduct ... Working knowledge of Python or a similar scripting language for data analysis. * Basic ...

Thinkbrg

Fall 2027 Advisory Associate

Tampa, FL · On-site

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau ...

Pwc

US Tech - FTO Senior Associate

Tampa, FL · On-site

$55K - $187K/yr

... Server - Utilizing Python and Terraform for infrastructure automation - Managing security ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL

$72K - $212K/yr

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AWS Security Engineer - Senior Associate

Tampa, FL

$77K - $202K/yr

... Python for cybersecurity solutions - Applying analytical thinking to complex DevSecOps challenges ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Python information

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How much do entry level python jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level python in Tampa, FL is $53.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $60.58 per hour, depending on experience, location, and employer.

What is an entry level Python job?

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 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 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 is the difference between Entry Level Python vs Data Analyst?

AspectEntry Level PythonData Analyst
Required SkillsBasic Python programming, problem-solvingData visualization, SQL, Excel, some Python
CertificationsPython for Beginners, Entry-Level ProgrammingGoogle Data Analytics, Microsoft Excel Certification
Work EnvironmentTech companies, startups, software teamsBusiness, finance, marketing departments
Industry UsageSoftware development, automation, scriptingData 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.

Is Entry Level Python in demand in 2026?

Entry level Python roles are expected to remain in demand in 2026 due to Python's widespread use in data analysis, automation, and web development. Employers seek candidates with basic programming skills, knowledge of libraries like Pandas or Flask, and the ability to learn quickly, making it a valuable entry point into tech careers.

Which entry level Python job is in demand?

Entry-level Python developer roles are in high demand across industries such as technology, finance, and data analysis. These positions often require knowledge of Python programming, basic understanding of frameworks like Django or Flask, and familiarity with version control tools like Git. Certifications and hands-on projects can improve job prospects in this field.
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Entry Level Python jobs near you
Infographic showing various Entry Level Python job openings in Tampa, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,965 per year, or $53.3 per hour.

Domain Engineer

Elutions

Tampa, FL • On-site

Full-time

Re-posted 14 days ago

Job description

Job Description
ELUTIONS is a global provider of Operational Business Intelligence and AI-driven solutions that optimize a broad range of operational performance and business practices-including, but not limited to, resource efficiency and energy consumption, production, asset health and performance, and commercial and logistics operations-across asset-intensive industries, such as chemical, LNG, refining, manufacturing, and logistics sectors. With over 30 years of experience evolving from industrial automation and controls into advanced AI analytics, Elutions enables organizations to convert operational data into actionable insights that drive measurable business outcomes.
At Elutions, engineers work closely with real operational systems and data, gaining hands-on experience in applying analytics to complex, asset-intensive environments. Team members are encouraged to continuously develop their technical and domain expertise while contributing to solutions that deliver measurable operational and business impact.
The Engineering Team is seeking a motivated Domain Engineer with the ability to integrate optimization strategies into real-world applications through commissioning data analytics and implementation.
This position is primarily in-person with intermittent travel. Both entry- and mid-level applicants are encouraged to apply, as on-the-job training and mentorship are provided to support professional growth and technical development.
** Entry Level Candidates are Encouraged to Apply!!!**
General Responsibilities:
  • Conduct research, data analytics, and prepare technical and performance reports.
  • Develop an understanding of industrial process systems and operations, including (but not limited to) fluid mechanics, pumping systems, energy systems, wastewater treatment, desalination, and process operations across chemical, petroleum, LNG, and refinery sites.
  • Analyze large operational datasets and apply data analytics and data-mining concepts to identify patterns, anomalies, and optimization opportunities.
  • Read and understand asset performance curves and equipment specifications.
  • Learn and implement technical hardware/software solutions for monitoring, analytics, and optimization.
  • Apply data pattern recognition techniques and energy optimization methodologies to support operational improvement initiatives.
  • Visualize data findings through dashboards including UI/UX design
  • Provide second-tier customer support for deployed analytics and optimization solutions.
  • Support customer engagement activities, including training sessions, software demonstrations, technical presentations, and any additional support.
  • Have effective interpersonal skills, organization/prioritization and administrative skills
  • Field travel as needed to perform site surveys, equipment installation/commissioning, and field support activities.

Requirements:
  • Master's degree or Bachelor's degree in either Mechanical Engineering, Chemical Engineering, Petroleum Engineering, Electrical Engineering, or Industrial Engineering disciplines. Other high-level science or mathematics-based degrees will also be considered.
  • Proficiency in Microsoft Excel for data analysis (formulas, pivot tables, charts).
  • Working knowledge of Python or a similar scripting language for data analysis.
  • Basic understanding of data analytics and statistics, including trend analysis and anomaly detection.
  • Ability to interpret process diagrams and technical documentation (PFDs, P&IDs, equipment data).
  • Exposure to industrial or operational data systems (e.g., historians, DCS/SCADA) is preferred.

Motivational Fit:
The successful candidate will have the following attributes:
  • Strong written and verbal communication skills, particularly when collaborating with distributed or cross-functional teams.
  • Ability to plan, organize, and prioritize work effectively across multiple tasks and timelines.
  • Analytical and creative problem-solving skills, with a willingness to investigate complex technical challenges.
  • Proactive mindset with the ability to take initiative and follow through on assignments.
  • Flexibility and adaptability when working in dynamic technical and operational environments.
  • Collaborative, team-oriented approach with a strong sense of accountability.
  • High level of motivation and interest in continuous learning and professional development.

Apply