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Entry Level Python Jobs in Hawaii (NOW HIRING)

Entry Level Python information

See Hawaii salary details

$13

$60

$89

How much do entry level python jobs pay per hour?

As of May 31, 2026, the average hourly pay for entry level python in Hawaii is $60.91, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $69.18 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?

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.

What are the most commonly searched types of Python jobs in Hawaii? The most popular types of Python jobs in Hawaii are:
What are popular job titles related to Entry Level Python jobs in Hawaii? For Entry Level Python jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Entry Level Python jobs in Hawaii look for? The top searched job categories for Entry Level Python jobs in Hawaii are:
What cities in Hawaii are hiring for Entry Level Python jobs? Cities in Hawaii with the most Entry Level Python job openings:
Strategic Data Analyst I, Health Data Integration & Analytics

Strategic Data Analyst I, Health Data Integration & Analytics

Hawaii Medical Service Association

Honolulu, HI • On-site

Full-time

Posted 13 days ago


Job description

  1. Strategic Data Analytics and Project Management
    • Understands and aligns enterprise and business unit goals, strategies, and objectives. Works with leadership to identify and prioritize D&A solutions which support goals, strategies, and objectives.
    • Implements and oversees a Scope Management process that identifies, defines, and controls initiatives' deliverables and benefits.
    • Works with business unit, IT, and D&A staff to develop and prioritize D&A business requirements for analytic reports, dashboards, and data cubes and marts.
    • Works closely with business units, IT, and D&A teams to ensure that D&A requirements are adjusted as initiatives evolve and the final D&A solution meets defined requirements.
    • Develops and maintains project scope, plans, timelines, risks, and issues documents.
    • Develops strategies, objectives, and tactics to support enterprise and business unit goals while factoring in resource and other constraints, and HMSA values.
    • Monitors and takes appropriate action to ensure that deliverables are accomplished in an accurate, high-quality, and timely manner.
  2. Cross-Functional Integration and Communication
    • Interacts with corporate and business unit leadership to identify and align D&A activities across business units.
    • Acts as a conduit to bridge the knowledge and understanding gaps among business units, IT, and D&A teams.
    • Facilitates the creation and operationalization of Stakeholder Communication Plans that describe how important information, such as project status, gets communicated to internal and external stakeholders.
    • Excellent communication skills using methods such as: extemporaneous verbal discussions; status reports; written analysis, assessments, and recommendations; oral and video presentations; email messages; and program documentation repositories.
    • Identifies and appropriately escalates issues, risks, and concerns.
    • Represents the Health Data Integration & Analytics department in interactions with both internal and external parties.
  3. Research and Data analysis
    • Provides high quality, objective, and professional analysis of relevant topics.
    • Gathers and analyzes information to identify trends, issues, innovations, and potential problems and solutions for priority business needs.
      • Develops design analysis frameworks
      • Prepares reports
      • Presents results with recommendations
      • Implements solutions
    • Identifies, analyzes, interprets, and summarizes important trends and patterns in complex data sets.
    • Supports business unit reporting.
    • Runs ad hoc analyses for business unit(s).
    • Provides business insight to other internal departments when working on cross-functional initiatives.
    • Performs advanced analytics incorporating techniques like advanced statistics, ML, predictive modeling, and cohort matching.
  4. On a regular, sustained basis, cooperates with other staff members both within and outside the department in accomplishing one's own job duties as well as assisting others in accomplishing theirs.
  5. Performs all other miscellaneous responsibilities and duties as assigned or directed

#LI-Hybrid
  1. Bachelor's degree and two or more years of work experience; or equivalent combination of education and work experience.
  2. Experience working in a collaborative team environment.
  3. Demonstrated ability to successfully interact with people at all levels of the organizations (i.e., entry-level to senior management).
  4. Demonstrated knowledge in identifying issues, collecting data, and analyzing and interpreting information.
  5. Experience in effectively presenting information in formal and informal presentation settings.
  6. Working knowledge of Microsoft Office applications including but not limited to Word, PowerPoint, Excel, and Outlook/Email.
  7. Working knowledge of data science programming languages such as Python, R, and SQL.