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Amazon Java Developer Jobs in Charlotte, NC (NOW HIRING)

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How much do amazon java developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for amazon java developer in Charlotte, NC is $55.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $61.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Java Developer position, and why are they important?

To thrive as an Amazon Java Developer, you need a strong foundation in Java programming, object-oriented design, and experience with scalable, distributed systems, often supported by a degree in computer science or related field. Familiarity with AWS services, version control systems like Git, and CI/CD pipelines is highly valued, and certifications such as AWS Certified Developer can be advantageous. Strong problem-solving abilities, effective communication skills, and a collaborative mindset are crucial soft skills in this role. These competencies are essential to building robust, efficient software solutions in Amazon’s fast-paced, innovative environment.

What types of projects and technologies will I typically work on as an Amazon Java Developer?

As an Amazon Java Developer, you'll usually work on complex, large-scale distributed systems that support millions of users, leveraging Java and a variety of AWS cloud services. Your projects might involve developing new microservices, optimizing backend processes for performance and reliability, or integrating with other Amazon platforms and tools. You'll regularly use technologies such as RESTful APIs, SQL and NoSQL databases, and modern CI/CD tools, collaborating closely with cross-functional teams including product managers, front-end engineers, and DevOps specialists. The work environment encourages knowledge sharing, innovation, and continuous learning to ensure solutions meet Amazon’s high standards for scalability and customer impact.

What is an Amazon Java Developer job?

An Amazon Java Developer is responsible for designing, developing, and maintaining scalable, high-performance applications using Java. They work on Amazon’s cloud-based services, backend systems, or customer-facing applications, ensuring efficiency and reliability. This role requires expertise in Java, AWS services, microservices architecture, and data structures. Developers collaborate with cross-functional teams to optimize performance, improve user experience, and implement new features.

What are popular job titles related to Amazon Java Developer jobs in Charlotte, NC? For Amazon Java Developer jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Amazon Java Developer jobs in Charlotte, NC look for? The top searched job categories for Amazon Java Developer jobs in Charlotte, NC are:
Senior Consultant-AI and Data Risk Management

Senior Consultant-AI and Data Risk Management

Deloitte

Charlotte, NC

Other

Posted 25 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
    Effective written and verbal communication skills
    Meticulous attention to detail and quality of work product
    Ability to build and sustain professional relationships 
    Ability to lead projects or workstreams
    Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
    Strong interpersonal skills and professional demeanor 
    Ability to meet deadlines
    Ability to provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $116,200 to $229,100


Qualifications:

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
    Effective written and verbal communication skills
    Meticulous attention to detail and quality of work product
    Ability to build and sustain professional relationships 
    Ability to lead projects or workstreams
    Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
    Strong interpersonal skills and professional demeanor 
    Ability to meet deadlines
    Ability to provide clear guidance to others

The team

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $116,200 to $229,100


Education:Bachelor's DegreeEmployment Type:

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