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Entry Level Java Developer Jobs in Elkridge, MD (NOW HIRING)

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How much do entry level java developer jobs pay per year?

As of May 31, 2026, the average yearly pay for entry level java developer in Elkridge, MD is $97,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What is the Job of an Entry Level Java Developer?

An entry-level Java developer is in charge of using programming languages to build software and applications. In this position, your duties primarily revolve around writing code, testing it, and troubleshooting existing code. You work with a team to develop internet and intranet applications as needed. You may also be in charge of creating user guides and other documentation for clients. In order to succeed as an entry-level Java developer, you need to be willing to challenge yourself and try new solutions when faced with problems.

What are the key skills and qualifications needed to thrive as an Entry Level Java Developer, and why are they important?

To thrive as an Entry Level Java Developer, you need a solid understanding of Java programming, object-oriented concepts, and a relevant degree or coding bootcamp experience. Familiarity with tools like Git, IDEs such as Eclipse or IntelliJ, and basic knowledge of SQL databases are typically expected. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you stand out in this role. These skills are essential for building reliable software, collaborating with other developers, and adapting quickly to new technologies and project requirements.

What types of projects or tasks can I expect to work on as an Entry Level Java Developer?

As an Entry Level Java Developer, you'll typically work on tasks such as fixing bugs, writing unit tests, and developing small features under the guidance of senior developers. You'll often participate in code reviews, collaborate with QA teams to ensure quality, and contribute to documentation. Many teams use Agile methodologies, so you'll likely attend daily stand-ups and sprint planning meetings, providing you with opportunities to learn from more experienced colleagues while gradually taking on more complex assignments as your skills grow.

What does an Entry Level Java Developer do?

An Entry Level Java Developer is responsible for writing, testing, and maintaining Java-based software applications under the guidance of more experienced developers. They typically work on coding assignments, debugging issues, and collaborating with team members to ensure software meets project requirements. These developers often assist with documentation, learn best practices, and gradually take on more complex tasks as they gain experience. Their work is crucial in supporting the development team and ensuring software quality.

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

AspectEntry Level Java DeveloperJunior Java Developer
Required CredentialsBachelor's in CS or related field, basic Java knowledgeBachelor's in CS or related field, some Java experience
Work EnvironmentInternship or entry-level position, team collaborationEntry-level role, supervised tasks, learning-focused
Employer & Industry UsageTech companies, startups, IT departmentsSoftware firms, IT services, corporate tech teams
Common Search & ComparisonYesYes

Both roles typically require a bachelor's degree in computer science or related fields and basic Java knowledge. They are often used interchangeably in job listings, focusing on entry-level candidates gaining practical experience. The main difference lies in terminology preference; 'Junior Java Developer' is more common in some regions or companies, but both roles serve as starting points for Java programming careers.

What are the most commonly searched types of Java Developer jobs in Elkridge, MD? The most popular types of Java Developer jobs in Elkridge, MD are:
What cities near Elkridge, MD are hiring for Entry Level Java Developer jobs? Cities near Elkridge, MD with the most Entry Level Java Developer job openings:

Artificial Intelligence (AI) Assistant I

Starks Industries

Washington, DC • On-site

Full-time

Posted 20 days ago


Job description

SUMMARY:
Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial intelligence initiatives through data preparation, model testing, system monitoring, governance, risk, and compliance (GRC) support activities, and research. Supports AI adoption initiatives aligned with agency mission priorities, cybersecurity requirements, federal compliance mandates, and digital transformation objectives. Contributes to the development of ethical, secure, transparent, and responsible AI solutions consistent with federal AI frameworks, risk management principles, and organizational governance standards. Assists with continuous monitoring, documentation, audit readiness, and automation efforts supporting AI operational integrity and regulatory compliance.
KEY DUTIES and RESPONSIBILITIES:
  • Assist with data collection, cleansing, validation, and organization for AI and machine learning projects
  • Support the development, testing, and validation of AI models under the guidance of senior technical staff
  • Monitor AI systems and report performance issues, anomalies, security concerns, compliance deviations, or opportunities for improvement
  • Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and operational controls
  • Assist in maintaining AI system documentation, inventories, risk registers, audit artifacts, and compliance tracking records
  • Participate in continuous monitoring activities for AI-enabled systems to support operational performance, cybersecurity posture, and regulatory compliance
  • Assist with implementing automated workflows, dashboards, alerts, and reporting mechanisms for AI operations and compliance monitoring
  • Conduct research on emerging AI tools, platforms, federal AI policies, cybersecurity standards, and industry best practices
  • Help document AI workflows, standard operating procedures (SOPs), governance processes, and technical procedures
  • Support internal stakeholders using AI-powered tools, automation platforms, and data-driven solutions
  • Collaborate with cross-functional teams including cybersecurity, compliance, legal, privacy, data governance, and IT operations personnel to integrate AI solutions into business operations
  • Assist in preparing reports, dashboards, presentations, and metrics related to AI initiatives, compliance activities, risk assessments, and operational performance
  • Support the identification, tracking, and mitigation of operational, cybersecurity, privacy, and AI model risks
  • Assists in the development, implementation, maintenance, and governance of AI-enabled solutions to improve operational efficiency, decision-making, automation, and data-driven outcomes
  • Support adherence to federal AI governance frameworks, cybersecurity standards, and agency compliance requirements

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Cybersecurity, Information Assurance, or a related discipline
  • 0-2 years of relevant experience (internships or academic projects acceptable)
  • Basic understanding of artificial intelligence, machine learning, data analytics, cybersecurity, or governance and compliance concepts

Preferred Skills & Competencies
  • Familiarity with programming languages such as Python, R, or Java Familiarity with programming languages such as Python, R, Java, or scripting tools used for automation
  • Exposure to data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar platforms)
  • Basic knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, or similar).
  • Familiarity with Governance, Risk, and Compliance (GRC) concepts, cybersecurity controls, or compliance monitoring processes
  • Exposure to automation, workflow orchestration, or monitoring tools used in IT or AI environments
  • Understanding of continuous monitoring principles, audit readiness, and operational reporting processes
  • Knowledge of federal IT environments, cloud platforms, AI governance frameworks, cybersecurity standards, or data governance policies
  • Familiarity with federal frameworks and standards such as NIST AI RMF, NIST CSF, RMF, FedRAMP, FISMA, or Zero Trust concepts.
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively in a team environment
  • Attention to detail and a strong commitment to quality and compliance
  • Experience supporting government clients or working in a regulated environment preferred

Required Knowledge, Skills, and Abilities (KSAs)
  • Foundational knowledge of AI/ML concepts, data analytics, governance, risk management, and statistical methods
  • Basic proficiency in programming languages such as Python, R, SQL, or similar technologies
  • Familiarity with data analysis and visualization tools (e.g., SQL, Excel, Power BI, Tableau, or equivalent)
  • Understanding of Governance, Risk, and Compliance (GRC) principles and continuous monitoring concepts
  • Ability to follow established procedures, security controls, governance standards, and federal compliance requirements
  • Knowledge of cybersecurity, privacy, and data protection principles in AI-enabled environments
  • Ability to identify, document, and escalate operational, compliance, or system risks
  • Strong analytical, organizational, and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to support audit preparation, reporting, and documentation activities
  • Ability to work in a structured, compliance-driven, and mission-focused environment

Security Requirements
  • Ability to obtain and maintain a Public Trust or higher-level security clearance, as required by the contract

Supervision
  • Works under direct supervision with clearly defined guidelines. Receives technical guidance from senior AI, cybersecurity, compliance, governance, data, or engineering personnel.