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Entry Level Java Programmer Jobs in Moore, OK (NOW HIRING)

Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Entry Level Java Programmer information

See Moore, OK salary details

$35

$53

$67

How much do entry level java programmer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for entry level java programmer in Moore, OK is $53.14, according to ZipRecruiter salary data. Most workers in this role earn between $45.62 and $60.43 per hour, depending on experience, location, and employer.

What does an entry level Java programmer do?

An Entry Level Java Programmer is responsible for writing, testing, and debugging basic Java code under the guidance of senior developers. They typically work on simple applications or parts of larger projects, assisting with coding, documentation, and sometimes basic troubleshooting. These programmers are expected to have a foundational understanding of Java and programming concepts, and their role is often focused on learning and gaining practical experience in a professional setting.

What are the key skills and qualifications needed to thrive as an entry level Java programmer?

To thrive as an Entry Level Java Programmer, you need a solid understanding of Java programming, object-oriented principles, and a degree in computer science or a related field. Familiarity with integrated development environments (IDEs) like Eclipse or IntelliJ IDEA, version control systems such as Git, and basic knowledge of databases are typically required. Strong problem-solving skills, attention to detail, and effective teamwork set candidates apart in this role. These skills ensure you can write efficient code, collaborate on projects, and quickly adapt to evolving technical requirements.

What are some common challenges faced by entry level Java programmers when joining a new team?

Entry-level Java programmers often encounter challenges such as understanding large, existing codebases, adapting to team coding standards, and learning to use version control systems like Git. Collaborating with more experienced developers can sometimes feel intimidating, but most teams encourage questions and mentorship. Over time, familiarity with the tools and workflows will grow, and seeking feedback early on helps accelerate learning and integration.

What is the difference between Entry Level Java Programmer vs Junior Java Developer?

AspectEntry Level Java ProgrammerJunior Java Developer
Required CredentialsBasic Java knowledge, possibly a degree in CS or related fieldSame as Entry Level Java Programmer, often with some certifications
Work EnvironmentInternship or entry-level team, learning-focusedDevelopment teams, collaborative projects, entry-level roles
Employer & Industry UsageTech companies, startups, IT departmentsSoftware firms, tech departments, consulting firms
Common Search & Comparison IntentUnderstanding entry-level roles in Java developmentClarifying differences between similar junior roles

Both roles typically require foundational Java skills and are entry-level positions within software development teams. The term "Junior Java Developer" may imply slightly more hands-on development experience, but both are often used interchangeably in job listings. The main difference lies in the job title preference rather than significant role distinctions.

Infographic showing various Entry Level Java Programmer job openings in Moore, OK as of August 2026, with employment types broken down into 83% Full Time, 8% Part Time, and 9% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $110,524 per year, or $53.1 per hour.

Data Scientist

Americanfidelity

Oklahoma City, OK • Hybrid

Full-time

Posted 4 days ago


Job description

Job Description:

Work with large, complex data sets using to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed to complete end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed in systems, products and processes.

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks, artificial intelligence and optimization methods to improve the quality of products; example application areas include customer segmentation modeling and end-user behavioral modeling/prediction.

Technical Skills and Requirements:

  • Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated data science libraries (scikit-learn).
  • Expert in database languages (e.g., SQL).
  • Experience creating meaningful data visualizations and/or interactive dashboards that communicate findings and business impacts using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
  • Applied experience with machine learning on large datasets using Big Data tools such as Apache's Hadoop or Spark
  • Expert in deep learning techniques and neural networks using languages such as as TensorFlow
  • Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization modeling languages (AMPL, GAMS, AIMMS, OPL, etc.)
  • Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics.
  • Strong background in modeling large scale discrete, nonlinear or stochastic mathematical optimization models and engineering efficient optimization algorithms.
  • Familiarity with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing.
  • Familiarity working with both structured and unstructured data, including textual data.
  • Ability to work in a fast-paced environment.
  • Exceptionally strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
  • Exceptional analytical thinking and problem solving skills.
  • Exceptional understanding of business and business strategy.
  • Exceptional planning skills.
  • Exceptional organizational skill and ability to work autonomously.

Education:

Master's degree in related field required.

Location:

This is a hybrid position. Applicants must be located in OKC Metro area or willing to relocate.

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