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Entry Level Java Software Engineer Jobs in Oklahoma City, OK

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Entry Level Java Software Engineer information

See Oklahoma City, OK salary details

$46K

$91.8K

$186.3K

How much do entry level java software engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level java software engineer in Oklahoma City, OK is $91,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $95,200.00 per year, depending on experience, location, and employer.

What is an entry level Java software engineer?

An Entry Level Java Software Engineer is a beginner role in software development that focuses on building, testing, and maintaining applications using Java. Engineers in this position work under the guidance of senior developers to write code, debug programs, and collaborate with teams to develop software solutions. Typical responsibilities include understanding project requirements, writing efficient code, and learning best practices in software engineering. This role is ideal for recent graduates or those with foundational programming knowledge looking to start a career in Java development.

What does a typical day look like for an entry level Java software engineer?

As an Entry Level Java Software Engineer, your day often includes writing and debugging Java code, participating in daily stand-up meetings, and collaborating with senior developers or mentors on assigned tasks. You might work on implementing new features, fixing bugs, reviewing pull requests, and learning about development best practices and code standards. There's usually a mix of independent work and teamwork, with opportunities to ask questions, receive feedback, and build your technical skills. This structure is designed to help you gain experience while steadily expanding your responsibilities within the team.

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

To thrive as an Entry Level Java Software Engineer, you need a solid understanding of Java programming, object-oriented concepts, basic algorithms, and a relevant degree in computer science or a related field. Familiarity with tools such as IntelliJ IDEA or Eclipse, version control systems like Git, and awareness of popular frameworks such as Spring or Hibernate is typically expected. Strong problem-solving skills, attention to detail, a willingness to learn, and effective team communication will set you apart. These competencies help you quickly adapt to real-world software development environments, contribute to team projects, and build a successful engineering foundation.

What are the most commonly searched types of Java Software Engineer jobs in Oklahoma City, OK? The most popular types of Java Software Engineer jobs in Oklahoma City, OK are:
Entry Level Java Software Engineer jobs near you

Data Engineer I,II,III, SR

mytfcuhr

Oklahoma City, OK

$106K - $133K/yr

Full-time

Posted 4 days ago

Job description

Tinker Federal Credit Union’s IT Department has an immediate opening for a Data Engineer! This is an exciting opportunity to join one of the nation’s leading credit unions! We offer competitive pay, a robust benefits package, a “smart casual dress code” and much more! We want you to work and grow at TFCU, so there will be many opportunities for professional development and growth through training and continued education. We value you at TFCU!

As a Data Engineer, you will be responsible for the following:

  • Building and maintaining scalable data pipelines and infrastructure that support analytics, business intelligence, and data integration initiatives.
  • Ensures efficient and reliable access to data across the organization by designing robust data models, optimizing data workflows, and implementing data quality and governance practices.
  • Collaborate with stakeholders across the organization to translate business requirements into robust technical solutions while adhering to established best practices, security standards, and regulatory requirements

Salary Range:

This is a non-exempt position. The starting salary range is: Level I: $86,368.28309 - $107,960.35, Level II: $106,414.36 - $133,017.95, Level III $131,113.13 - $163,891.42, Senior:  $131,113.13 - $163,891.42 however, actual placement within the range will be determined individually based on your experience relative to organizational needs and internal salary equity.

Schedule:

Normally works a weekday schedule, but may be required to work evenings, holidays, or weekends. May be required to travel overnight with or without notice. Could be subjected to on-call status.

Education/Experience:

A bachelor’s degree in computer science, information systems, business analytics, applied statistics, or a related field for all levels is required. A master’s degree in computer science, information systems, computer engineering, artificial intelligence, machine learning, data science, or a closely related field is preferred at the Senior level.

Certificates, Licenses, Registrations:

  • Incumbent Bonding REQUIRED by TFCU’s chosen authority.
  • Certifications such as Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer.

Keys to success:

In order to be successful as a Data Engineer you must possess these qualifications:

  • Strong interpersonal and team collaboration skills.
  • Ability to communicate technical concepts effectively to technical and non-technical audiences.
  • Strong analytical and problem-solving skills with the ability to design scalable, efficient, and reliable data solutions.
  • Strong understanding of data structures, algorithms, and core data engineering principles.
  • Detail-oriented with the ability to maintain accurate technical documentation, data lineage, and metadata.
  • Ability to manage multiple projects, priorities, and deadlines in a dynamic environment.
  • Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred.
  • Strong understanding of data modeling, database design, and dimensional modeling techniques, including star and snowflake schemas.
  • Experience with Microsoft Fabric technologies, including Data Factory, Dataflows Gen2, Synapse, OneLake, and Power BI (Level II and above).
  • Knowledge of source control, CI/CD pipelines, and DevOps practices supporting data engineering solutions (Level II and above).
  • Knowledge of data governance, information security, privacy, and regulatory requirements, including data classification, encryption, GLBA, and protection of personally identifiable information (PII).
  • Advanced knowledge of cloud-based data platforms, semantic modeling, data architecture, and real-time data processing technologies (Senior Data Engineer).

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