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Virtual Data Assistant Jobs in Florida (NOW HIRING)

Prophecy Technologies

CCaaS Google Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

... IVA (Intelligent Virtual Assistant) solutions, leveraging leading Cloud and enterprise ... Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ...

Booz Allen Hamilton

Data Lake Engineer

Doral, FL · On-site

$99K - $225K/yr

Data Lake Engineer The Opportunity: For an organization to transform in today's digital world, it ... assist with responses during interviews (whether in-person or virtual) is prohibited unless ...

Booz Allen Hamilton, Inc.

Data Lake Engineer

Doral, FL · On-site

$99K - $225K/yr

Data Lake Engineer The Opportunity: For an organization to transform in today's digital world, it ... assist with responses during interviews (whether in-person or virtual) is prohibited unless ...

Booz Allen Hamilton, Inc.

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Effective data management can enable more efficient operations, yielding more growth. As a data ... assist with responses during interviews (whether in-person or virtual) is prohibited unless ...

Lukos

Data Systems Administrator

Tampa, FL · On-site

... virtual server and desktop management preferably CISCO certified * Must possess a SECRET Security ... * Assist in developing and maintaining mature security procedures * Provide senior level guidance ...

Lukos

Data Systems Administrator

Tampa, FL

... virtual server and desktop management preferably CISCO certified * Must possess a SECRET Security ... * Assist in developing and maintaining mature security procedures * Provide senior level guidance ...

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Virtual Data Assistant information

What is a virtual data assistant?

A Virtual Data Assistant is a professional who provides remote support for data-related tasks such as data entry, organization, analysis, and management. They often work with spreadsheets, databases, and cloud-based tools to help businesses maintain accurate and organized data. Virtual Data Assistants may also assist with data cleaning, research, reporting, and ensuring data integrity. Their work helps organizations make informed decisions and improve efficiency by keeping data updated and accessible. These assistants typically work remotely, offering flexible support to clients across various industries.

How does a virtual data assistant typically collaborate with remote teams to manage and maintain data accuracy?

Virtual Data Assistants often work closely with remote teams using collaboration tools such as shared spreadsheets, project management platforms, and video conferencing. Regular check-ins and clear communication are crucial to ensure data is entered, updated, and verified accurately. They may participate in virtual meetings to clarify data requirements, resolve discrepancies, and provide updates on data-related tasks. Proactivity in raising potential issues and following documented data management procedures helps maintain data integrity across distributed teams.

What are the key skills and qualifications needed to thrive as a virtual data assistant, and why are they important?

To thrive as a Virtual Data Assistant, you need strong skills in data entry, attention to detail, organization, and proficiency with spreadsheets and databases, often supported by a relevant administrative or data management background. Familiarity with tools such as Microsoft Excel, Google Sheets, CRM systems, and cloud-based collaboration platforms is typically required. Effective communication, time management, and problem-solving abilities are soft skills that set exceptional virtual assistants apart. These skills and qualities are crucial for ensuring accurate data handling, efficient workflow, and seamless remote collaboration with clients or teams.

What is the difference between Virtual Data Assistant vs Data Entry Specialist?

AspectVirtual Data AssistantData Entry Specialist
Required CredentialsHigh school diploma, proficiency in data management toolsHigh school diploma, basic computer skills
Work EnvironmentRemote, flexible hoursOffice or remote, often routine tasks
Employer & Industry UsageBusinesses, entrepreneurs, online companiesCorporations, administrative offices
Common Search & ComparisonFocuses on data management, organization, and virtual supportFocuses on data input, accuracy, and speed

The Virtual Data Assistant typically handles a broader range of data management tasks remotely, including organizing, analyzing, and supporting data-related projects. In contrast, a Data Entry Specialist primarily focuses on inputting data accurately and efficiently. Both roles require similar foundational skills but differ in scope and responsibilities.

What are popular job titles related to Virtual Data Assistant jobs in Florida?

For Virtual Data Assistant jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Virtual Data Assistant jobs in Florida look for?

The top searched job categories for Virtual Data Assistant jobs in Florida are:

What cities in Florida are hiring for Virtual Data Assistant jobs?

Cities in Florida with the most Virtual Data Assistant job openings:

Virtual Data Assistant jobs near you
Infographic showing various Virtual Data Assistant job openings in Florida as of August 2026, with employment types broken down into 76% Full Time, 11% Part Time, 9% Temporary, and 4% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

CCaaS Google Data Engineer

Prophecy Technologies

Sunrise, FL • On-site

$109K - $131K/yr

Full-time

Posted 20 days ago

Job description

Role Overview:
This role focuses on designing, implementing, and optimizing CCaaS (Contact Center as a Service) and IVA (Intelligent Virtual Assistant) solutions, leveraging leading Cloud and enterprise conversational AI. The position involves architecting secure and resilient cloud infrastructure, particularly on Google Cloud Platform (GCP), and developing/maintaining robust data pipelines and models for CCaaS data platforms, ensuring data quality, reliability, security, and compliance.
Key Responsibilities:
  • Design and implement scalable CCaaS and IVA solutions, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, and speech-to-text/text-to-speech.
  • Architect secure, resilient cloud infrastructure on major cloud services providers using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery.
  • Implement IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.
  • Architect, implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management.
  • Lead integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud-based solutions.
  • Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.
  • Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems.
  • Understand model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.
  • Look proactively beyond the obvious for continuous improvement opportunities.
  • Lead teams and collaborate with stakeholders, demonstrating strong leadership and communication skills.
  • Manage stakeholder expectations and collaborate with cross-functional teams, including developers, business analysts, and quality assurance professionals.
  • Contribute to contact center migration to CCaaS and build data solutions surrounding the migration.
  • Define product vision, roadmap, and quarterly plans using Aha & Jira, prioritizing backlogs based on user feedback & business goals.
  • Orchestrate Agile ceremonies as a Product Owner.

Required Skills:
  • 8+ years of commercial software development experience using Java and/or Python.
  • Proficiency in Cloud technologies, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform.
  • Experience with RDBMS, No SQL databases, Maven, GIT, Jenkins, CI/CD.
  • Expertise in Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage, and Big Query.
  • Strong skills in ETL and Data Modeling.
  • Knowledge of Python, AI/ML, Tensorflow, LLM, GenAI.
  • Experience with Agile development, CI/CD, DevOps, and Observability.
  • Hands-on experience with Kafka, Relational, and/or NoSQL databases.
  • Understanding of data structures, algorithms, and design patterns.
  • Strong skills in Data Architecture design and modeling.
  • Exceptional communication and stakeholder management skills.

Qualifications:
  • 8+ years of commercial software development experience.

Preferred Skills:
  • Experience with Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow.
  • Understanding of model lifecycle, governance, bias mitigation, and explainability.
  • Ability to influence at all levels across functions, from both technical and non-technical perspectives.

Apply