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Remote Data Jobs in Florida (NOW HIRING)

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market ... Flexible remote work environment with a collaborative, high-talent team Salary: $135,000 - $155,000 ...

DATA SCIENTIST LEAD

Tampa, FL · On-site +1

$104K - $169K/yr

Leads a team of data scientist professionals. Provides consultation on the design, testing, and ... No opportunity for remote work. Doctorate degree in a related field and four (4) years of related ...

Remote Mortgage Underwriter

Tampa, FL · Remote

$22.02 - $39.93/hr

Work closely and collaborate with loan originator and processor to ensure all appropriate data is ... Remote Pay range listed is based on years of experience #eastpriority26 #priorityeast Job Type ...

AIS is seeking a Data Scientist to support NOAAs SEFSC Advanced Technology and Innovation Branch ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

PRIMARY FUNCTION The Senior Data Engineer is responsible for architecting and implementing reliable ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

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Remote Data information

See Florida salary details

$34.4K

$123.3K

$182K

How much do remote data jobs pay per year?

As of Jun 30, 2026, the average yearly pay for remote data in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Florida? The most popular types of Data jobs in Florida are:
What cities in Florida are hiring for Remote Data jobs? Cities in Florida with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,317 per year, or $59.3 per hour.
Data Protection Engineer

Data Protection Engineer

Lakeview Loan Servicing

Coral Gables, FL • On-site, Remote

$109K - $131K/yr

Full-time

Posted 17 days ago


Job description

Overview

The Data Protection Engineer (DPE) is responsible for designing, implementing, and maintaining corporate data protection solutions that safeguard sensitive company and customer information. This role focuses on the hands-on configuration, operation, and continuous improvement of data protection technologies and controls across cloud, endpoint, email, and data platforms.


The DPE works closely with IT Security, Compliance, Legal, and business stakeholders to translate data protection requirements into practical technical controls. This position requires a strong understanding of data loss prevention, data classification, information protection, regulatory compliance, and emerging data security threats to ensure the confidentiality, integrity, and availability of regulated and sensitive data.

This is an individual contributor/self-starter role, that is business minded and execution-focused, requiring strong technical proficiency, attention to detail, and the ability to operate effectively within a corporate environment.

This role can be remote anywhere in the country.  The salary range for this role is $130,000 to $175,000, plus an annual bonus. However Lakeview considers several factors when extending an offer, including but not limited to, the roles and associated responsibilities, a candidate's work experience, education/training, location and key skills. 


Responsibilities
  • Design, deploy, configure, and maintain data protection solutions across endpoints, networks, cloud services, email systems, and collaboration platforms.
  • Customize and fine-tune data protection policies, rules, and classifiers.
  • Define and maintain data classification schemes and sensitivity labels.
  • Fine-tune data protection policies, rules and detection algorithms to minimize false positives.
  • Define and refine data classification labels, configurations and control parameters.
  • Ability to troubleshoot sensitivity label issues with end users.
  • Develop automated workflows to enhance data security and reduce manual intervention.
  • Monitor and triage data protection alerts and incidents.
  • Implement and operate DSPM controls, data discovery, posture assessments, and exposure remediation.
  • Documentation of systems designs, configurations and support processes including, but not limited to, creating/maintaining conceptual, logic and system diagrams, standard operating procedures and playbooks, and configuration guides.
  • Ensure data protection policies align with company and regulatory requirements, as well as industry regulations (e.g., GLBA, CCPA, NYDFS)
  • Work closely with compliance and legal teams to enforce data protection requirements.
  • Provide technical guidance on emerging threats and data security trends.
  • Support data flow mapping, risk assessments, and remediation efforts.
  • Participate in architecture reviews and change management activities.
  • Stay current on data security trends and technologies.
  • Integrate data protection platforms with SIEM and IAM systems.
  • Perform other duties as assigned.

Qualifications
  • Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).
  • 8+ years of experience in DLP engineering.
  • Strong, hands-on experience with Microsoft Purview (Data Loss Prevention and Information Protection) and Microsoft Defender.
  • Experience with Microsoft Defender for Cloud and/or Netskope is a plus.
  • Strong knowledge of encryption, data classification, network security, endpoint protection, and cloud security principles.
  • Scripting (e.g., Python and PowerShell) and automation skills are a plus.
  • Solid understanding of regular expression and regex-based pattern matching.
  • Experience with enterprise support request and trouble ticketing solutions, such as ServiceNow and Jira.
  • Familiar with support process implementation and improvement.
  • Understanding data protection laws, compliance frameworks, and industry best practices.

Knowledge and Skills Required:

  • Strong problem-solving and analytical skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Self-starter with strong interpersonal, written and verbal communication skills and the ability to interact with technical and non-technical stakeholders.

Certifications

  • CISSP, CISA, CEH, CCSP, or Microsoft Certified preferred
Location & Compensation
  • The annual salary for this role ranges between $130-175K depending on the individual’s experience.
  • Role can be 100% fully remote depending on geographic location
Physical Demands and Work Environment

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and use hands to handle, touch or feel objects, tools, or controls.  The employee frequently is required to talk and hear.  The noise level in the work environment is usually moderate.  The employee is occasionally required to stand; walk; reach with hands and arms.  The employee is rarely required to stoop, kneel, crouch, or crawl.  The employee must regularly lift and/or move up to 10 pounds.  Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus.

EEOC

Lakeview is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

Qualifications:
  • Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, or a related field (or equivalent experience).
  • 8+ years of experience in DLP engineering.
  • Strong, hands-on experience with Microsoft Purview (Data Loss Prevention and Information Protection) and Microsoft Defender.
  • Experience with Microsoft Defender for Cloud and/or Netskope is a plus.
  • Strong knowledge of encryption, data classification, network security, endpoint protection, and cloud security principles.
  • Scripting (e.g., Python and PowerShell) and automation skills are a plus.
  • Solid understanding of regular expression and regex-based pattern matching.
  • Experience with enterprise support request and trouble ticketing solutions, such as ServiceNow and Jira.
  • Familiar with support process implementation and improvement.
  • Understanding data protection laws, compliance frameworks, and industry best practices.

Knowledge and Skills Required:

  • Strong problem-solving and analytical skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Self-starter with strong interpersonal, written and verbal communication skills and the ability to interact with technical and non-technical stakeholders.

Certifications

  • CISSP, CISA, CEH, CCSP, or Microsoft Certified preferred
Location & Compensation
  • The annual salary for this role ranges between $130-175K depending on the individual’s experience.
  • Role can be 100% fully remote depending on geographic location
Physical Demands and Work Environment

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and use hands to handle, touch or feel objects, tools, or controls.  The employee frequently is required to talk and hear.  The noise level in the work environment is usually moderate.  The employee is occasionally required to stand; walk; reach with hands and arms.  The employee is rarely required to stoop, kneel, crouch, or crawl.  The employee must regularly lift and/or move up to 10 pounds.  Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus.

EEOC

Lakeview is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

Education:UNAVAILABLEEmployment Type: FULL_TIME