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Junior Amazon Quantum Computing Jobs in Florida (NOW HIRING)

Junior Amazon Quantum Computing information

What does a junior Amazon Quantum Computing professional do?

A Junior Amazon Quantum Computing professional supports the development and implementation of quantum computing solutions within Amazon, particularly for services like Amazon Braket. Their responsibilities often include assisting with quantum algorithm development, running simulations, analyzing quantum hardware performance, and collaborating with more senior quantum engineers and researchers. This entry-level role is ideal for those with a background in physics, computer science, or engineering who are eager to work on cutting-edge quantum technologies. They typically contribute to research projects, help maintain quantum computing infrastructure, and learn industry best practices on the job.

What types of projects do junior Amazon Quantum Computing team members typically work on, and how do they collaborate with more experienced colleagues?

As a Junior member of the Amazon Quantum Computing team, you'll often contribute to research and development projects focused on quantum algorithms, software tools, or cloud-based quantum services. You'll collaborate closely with senior researchers, software engineers, and product managers, often working in cross-functional teams to solve complex problems and implement new features. Regular team meetings, code reviews, and pair programming sessions are common, providing opportunities to learn best practices and receive mentorship. This collaborative environment is designed to accelerate your professional growth while making meaningful contributions to cutting-edge quantum computing initiatives.

What are the key skills and qualifications needed to thrive as a junior Amazon Quantum Computing professional?

To thrive as a Junior Amazon Quantum Computing Engineer, you should possess a strong background in quantum mechanics, computer science, and mathematics, typically with a relevant degree such as physics, computer science, or electrical engineering. Familiarity with quantum programming languages (like Qiskit or Amazon Braket), cloud computing platforms (AWS), and version control systems is highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex technical projects. These competencies enable you to contribute effectively to innovative solutions in a rapidly evolving field, ensuring both technical progress and teamwork.
What are the most commonly searched types of Amazon Quantum Computing jobs in Florida? The most popular types of Amazon Quantum Computing jobs in Florida are:
What are popular job titles related to Junior Amazon Quantum Computing jobs in Florida? For Junior Amazon Quantum Computing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Junior Amazon Quantum Computing jobs in Florida look for? The top searched job categories for Junior Amazon Quantum Computing jobs in Florida are:
What cities in Florida are hiring for Junior Amazon Quantum Computing jobs? Cities in Florida with the most Junior Amazon Quantum Computing job openings:
Infographic showing various Junior Amazon Quantum Computing job openings in Florida as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Re-posted 14 days ago


Job description

LOCAL to Naperville,IL ONLY!
Role Descriptions: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Essential Skills: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Desirable Skills:
Keyword:
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Python Web Frameworks~MySQL
Experience Required: 6-8, Project Code :