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Remote Data Engineering Jobs in Florida (NOW HIRING)

Snowflake Solution Architect

Tampa, FL · On-site +1

$70 - $85/hr

Partner with data engineers, analysts, and data scientists to translate requirements into scalable ... Remote or hybrid work flexibility * Small, high-impact team with strong ownership and autonomy

Snowflake Solution Architect

Tampa, FL · On-site +1

$70 - $85/hr

Partner with data engineers, analysts, and data scientists to translate requirements into scalable ... Remote or hybrid work flexibility * Small, high-impact team with strong ownership and autonomy

This position will work closely with data engineering, application teams, and business stakeholders ... Primarily office-based or remote/hybrid work environment * Extended periods working on a computer ...

Cloud Engineer

Fort Myers, FL · On-site +1

$78.46K - $101.98K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering ...

Cloud Engineer

Fort Myers, FL · On-site +1

$78.46K - $101.98K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Working knowledge of machine learning frameworks (TensorFlow, PyTorch) and data engineering ...

... CD, DevOps, and healthcare interoperability (FHIR, HL7) is preferred. Certifications: TOGAF, AWS/Azure/GCP Solutions Architect, CDMP, Cloud Data Architect, Snowflake Architect. Remote with some ...

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

GCP Engineer

Tampa, FL · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

GCP Engineer

Miami, FL · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

NTT is seeking a Data Scientist / ML engineer with 7+ years of experience. This person should be ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Data Analyst

Orlando, FL · Remote

$89.50K - $127.19K/yr

Remote Salary Range: $89,501- $127,186 per year, depending on experience and qualifications ... This role partners closely with stakeholders across Professional Services, Product, and Engineering ...

New

NTT is seeking a Data Scientist / ML engineer with 7+ years of experience. This person should be ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Jupyter Notebook-based data engineering and geospatial data layer creation * Metadata tagging, data ... Host remote training materials, provide access to self-paced learning modules, and facilitate ...

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Showing results 1-20

Remote Data Engineering information

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:
What cities in Florida are hiring for Remote Data Engineering jobs? Cities in Florida with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Florida as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 82% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Machine Learning Scientist - Remote

Machine Learning Scientist - Remote

Tower Hill Insurance Group LLC

Gainesville, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Job Type
Full-time
Description
Tower Hill Insurance Group has an exciting opportunity for a talented Machine Learning Scientist who enjoys intellectual challenges and is seeking a rewarding career with a company that is experiencing growth. Not only is Tower Hill Insurance one of Florida's most trusted names in homeowners insurance, but it offers great opportunities for career advancement and personal growth, along with very competitive benefits and rewards. We are growing at a consistent pace and seek professional individuals with drive, team mentality, who want to make an impact, and are committed to a long-term career in the insurance industry.
The Machine Learning (ML) Scientist develops actionable insights and recommendations in support of business objectives using in-house and external data sources. This position utilizes problem-solving skills to collaborate with business and data engineering professionals for timely and reliable delivery of data solutions. This role leverages the team's deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management, drive efficiencies, and improve customer experience.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Partner with business stakeholders to scope, structure, and drive analytical projects from requirements through delivery. Present findings and recommendations clearly to both technical and non-technical audiences.
  • Source, validate, and integrate structured and unstructured data across platforms. Conduct exploratory data analysis to reveal data quality issues and identify opportunities.
  • Analyze business trends, time series patterns, model performance, and causal relationships using advanced statistical and machine learning / deep learning methods to inform strategic decisions.
  • Design, build, and deploy machine learning / deep learning models - including NLP, computer vision, and LLM-based solutions - from rapid prototyping through production deployment.
  • Create visualizations, dashboards, and reports that communicate analytical and model results to support decision-making across the organization.
  • Own and maintain recurring analytical, reporting, and model-monitoring processes.
  • Document data pipelines, model architecture, analytical frameworks, and deliverables for knowledge sharing across technical and non-technical teams.

ADDITIONAL DUTIES
This job description reflects the general duties considered necessary to describe the essential functions of the job and should not be considered a complete description of all the work requirements and expectations of the position. Tower Hill reserves the right to assign duties not listed herein as necessary to accomplish the goals of the organization.
Requirements
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION
High School Diploma or GED required. Bachelor's Degree in Computer Science, Statistics, Mathematics, Engineering, or related field required. Master's Degree or higher preferred.
EXPERIENCE
Minimum of five (5) years of relevant work experience in machine learning and/or deep learning required, including the following:
  • Advanced Proficiency in Python.
  • Demonstrated ability to build and deploy ML models using frameworks such as scikit-learn, PyTorch, Hugging Face Transformers.
  • Experience working with cloud data platforms and warehouses (e.g., Snowflake, PostgreSQL) and cloud storage (e.g., S3).Strong written and verbal communication skills with the ability to present complex technical concepts and insights to non-technical stakeholders.
  • Proven ability to work independently, drive projects forward with minimal oversight, and execute in stakeholder-facing environments.

The following work experience is highly preferred:
  • Experience with deep learning, NLP, computer vision, or large language model development and deployment.
  • Hands-on experience with statistical methods (hypothesis testing, regression, causal inference), exploratory techniques (clustering, PCA), anomaly detection, forecasting, and time series analysis.
  • Experience with data processing at scale using PySpark, Pandas, or similar libraries to clean, transform, and integrate data from multiple sources.
  • Experience with visualization tools such as Power BI, matplotlib, seaborn, or plotly.
  • Familiarity with API development and deployment using frameworks such as FastAPI.
  • Experience with AWS services such as SageMaker, S3, Lambda, or Glue.
  • Property and casualty insurance or financial services industry work experience including regulatory standards and best practices is a plus.

CERTIFICATIONS
AWS Certifications in AI or ML preferred.
LICENSES
N/A
*Tower Hill currently operates in a hybrid work environment and may consider candidates located outside of our established office locations. We are presently open to hiring in the following states CT, FL, GA, IA, IN, KY, MI, MS, NC, OH, SC, TN, TX, UT, VA, WV.
Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.
Preferred work arrangement hybrid on-site, but remote candidates will be considered based on qualifications and experience.
BENEFITS
  • Medical
  • Dental
  • Vision
  • Life & Disability Insurance
  • 401(k)
  • Health Savings Account
  • Accident, Critical Illness and Hospital Indemnity
  • Pet insurance
  • Paid time off & Holiday pay

We offer competitive pay and benefits, and well-being programs to support you and your family. For more information about our company, careers and Total Compensation visit: Total Compensation - Tower Hill Insurance (thig.com)
Tower Hill Insurance is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Tower Hill Insurance is committed to working with and providing reasonable accommodation for individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to hrdepartment@thig.com and let us know the nature of your request and your contact information.
All applicants will receive an acknowledgement that their application has been received. Candidates will not receive status updates regarding their application; however, those candidates selected for further consideration will be contacted by Human Resources.