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Data Processor Jobs in Miami, FL (NOW HIRING)

Norwegian Cruise Line Holdings Ltd

Data Architect

Miami, FL · On-site

$61 - $78.50/hr

Ensure that architecture designs facilitate robust data quality processes through automated testing, monitoring, and error handling. * Integrate comprehensive metadata capture and cataloging ...

Norwegian Cruise Line Holdings Ltd

Data Architect

Miami, FL · Remote

$61 - $78.50/hr

Ensure that architecture designs facilitate robust data quality processes through automated testing, monitoring, and error handling. * Integrate comprehensive metadata capture and cataloging ...

Deloitte

Databricks Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... data processing workflows • Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • Ability to travel 50%, on average ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

Submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance. Job Requirements Experience: * Possess the knowledge and ...

CADY

Image Processor

Miramar, FL · On-site

$14.75 - $19/hr

Our image processors are the holders of CADY quality standards when it comes to photography. Each ... Complete data entry and review as needed. * Assist the photography teams in completing daily ...

Lennar

Data Analyst II

Miami, FL · On-site

You will also mentor junior analysts and contribute to data process improvements. * A career with purpose. * A career built on making dreams come true. * A career built on building zero defect homes ...

SOSi

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics. Additional Information Work Environment

SOSi

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics. Additional Information Work Environment

SOSi

Data Science Lead

Doral, FL

... and parallel data processing capabilities. * The contractor shall fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

SOSi

Data Lake Engineer

Doral, FL

$105K - $127K/yr

Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics. Additional Information Work Environment

SOSi

Data Science Lead

Doral, FL · On-site

... and parallel data processing capabilities. * The contractor shall fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

SOSi

Data Science Lead

Doral, FL

... and parallel data processing capabilities. * The contractor shall fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

Pride Health

Specimen Processor

Miramar, FL · On-site

$16 - $17/hr

Perform specimen processing tasks including A-station, presort, pickup, delivery, imaging ... Enter data accurately and efficiently (6,000 keystrokes/hour). * Ensure accuracy, timeliness, and ...

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Data Processor information

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How much do data processor jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for data processor in Miami, FL is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.39 per hour, depending on experience, location, and employer.

What Is a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a Data Processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

More about Data Processor jobs
What are the most commonly searched types of Data Processor jobs in Miami, FL? The most popular types of Data Processor jobs in Miami, FL are:
What are popular job titles related to Data Processor jobs in Miami, FL? For Data Processor jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Miami, FL look for? The top searched job categories for Data Processor jobs in Miami, FL are:
What cities near Miami, FL are hiring for Data Processor jobs? Cities near Miami, FL with the most Data Processor job openings:
Data Processor jobs near you

Data Architect

Norwegian Cruise Line Holdings Ltd

Miami, FL • On-site

$61 - $78.50/hr

Full-time

Posted 19 days ago

Job description

GROW YOUR CAREER WITH US
At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we're continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!
APPLY ONLINE
If you're interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.
JOB SUMMARY
This a critical role responsible for leading and shaping the data architecture strategies within our organization. This position exists to guide the design and implementation of data architecture for the data engineering teams, collaborate with external vendors, and support the enhancement and maintenance of legacy data applications and integrations. In addition to supporting traditional enterprise data management functions, the Data Architect designs solutions that also enable advanced analytics initiatives-including AI, ML, and Data Science-by developing comprehensive data models and integrating modern, legacy, and big data technologies. The end goal is to ensure the data architecture aligns with business needs, supports data-driven decision-making, and facilitates the smooth operation and scalability of our data systems.
POSITION RESPONSIBILITIES
  • Develop, document, and maintain data architecture standards, models, and guidelines that ensure scalable, secure, and efficient data storage, integration, and retrieval across the enterprise.
  • Leverage industry-standard architectural frameworks (e.g., TOGAF) to guide design decisions and ensure best practices.
  • Design architectures that enable high-performance analytics, including real-time data feeds and predictive modeling.

  • Partner with external vendors to enhance data warehouse capabilities and implement new features.
  • Select appropriate technologies and tools in collaboration with vendors.

  • Guide the enhancement and maintenance of legacy data applications and integrations.

  • Strategize the modernization of legacy systems where necessary.

  • Work with various departments to understand and fulfill their data requirements.

  • Promote data literacy and empowerment throughout the organization.

  • Contribute to long-term strategic planning for the department's data architecture initiatives.
  • Develop comprehensive documentation, including data models, architecture diagrams, integration flows, and technical specifications to support effective communication and execution of the data strategy.
  • Continuously evaluate emerging trends and technologies, integrating innovative solutions that enhance the organization's data ecosystem.

  • Design data architecture solutions that support advanced analytics initiatives, ensuring that infrastructures can effectively serve AI, ML, and Data Science workloads.
  • Optimize data pipelines for performance and scalability, including the design of architectures that support real-time data processing and model deployment.

  • Ensure that architecture designs facilitate robust data quality processes through automated testing, monitoring, and error handling.
  • Integrate comprehensive metadata capture and cataloging solutions to provide transparency and traceability across data movements and transformations.
  • Adhere to and enforce data governance, security, and compliance standards, ensuring all architectures meet regulatory requirements.

  • Perform other job-related functions as assigned.

QUALIFICATIONS
DEGREE TYPE:
Bachelor's Degree
FIELD(S) OF STUDY:
Business Management, Computer Science, Industrial Engineering, or a related field; or an equivalent combination of relevant work experience and education.
EXPERIENCE
  • Minimum of 10+ years of progressive experience architecting and delivering enterprise data platforms in cloud-first environments.

  • Deep expertise designing scalable, cloud-native data architectures (e.g., Snowflake, dbt, modern ELT), including CI/CD, observability, security, and cost optimization.

  • Strong command of advanced data modeling techniques (dimensional, data vault, domain-driven design) and building governed, reusable data products.

  • Proficiency in SQL and modern programming/scripting languages (e.g., Python) to enable automation, orchestration, and platform extensibility.

  • Experience enabling AI/ML and advanced analytics use cases, including preparation of structured and unstructured data for LLMs, semantic layers, and real-time or event-driven architectures.

  • Proven ability to lead architecture in Agile product delivery environments and collaborate cross-functionally with engineering, analytics, DevOps, and business stakeholders.

COMPETENCIES & SKILLS
  • Deep understanding of data architecture principles, data modeling, and data integration best practices.

  • Strong proficiency in designing and managing databases such as Microsoft SQL Server, Oracle, MySQL, HANA, and Snowflake.

  • Familiarity with both traditional on-premises and cloud-based infrastructures (preferably AWS), as well as Windows and Linux-based environments.

  • Experience working within established architectural frameworks (e.g., TOGAF or similar) and, ideally, relevant certifications.

  • Exceptional analytical, problem-solving, and communication skills, with a proven ability to work collaboratively with cross-functional teams and external vendors.

  • Demonstrated track record in driving innovation and process improvement in data management.

  • Familiarity with advanced analytics concepts-including AI, ML, and Data Science-and an understanding of how to design architectures that support evolving analytical requirements.

  • Strong knowledge of data quality, metadata management, and data governance frameworks to ensure robust and compliant data systems.

CERTIFICATIONS & LICENSES
• Cloud platform certifications (e.g., Snowflake, AWS, Azure, or GCP) preferred.
• dbt, data engineering, or analytics engineering certifications are a plus.
• AI/ML or data governance certifications (e.g., Databricks, SnowPro Advanced, DAMA/CDMP) are desirable but not required.
ABOUT NCLH
Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line®, Oceania Cruises® and Regent Seven Seas Cruises® brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.
LEARN MORE ABOUT OUR COMPANY:
At a Glance
Brand Overview
Norwegian Cruise Line
Oceania Cruises
Regent Seven Seas Cruises
New Releases
EQUAL OPPORTUNITY EMPLOYER
It is Norwegian Cruise Line Holding's policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

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