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Remote Data Engineering Jobs in Spring Hill, FL (NOW HIRING)

Inizio Partners

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

Deloitte

AI and Data Science Engineer III

Tampa, FL · On-site +1

$108K - $129K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Deliver governed datasets and feature engineering and serving patterns for machine learning ...

Waypoint Human Capital

Principal Engineer

Tampa, FL · On-site +1

Principal Engineer Position Type: Full-time, Remote Location: Tampa, FL (Preferred) Clearance: (At ... AI, Data Engineering & Analytics Develop and support data pipelines for security and operational ...

Waypoint Human Capital

Principal Engineer

Tampa, FL · On-site +1

Principal Engineer Position Type: Full-time, Remote Location: Tampa, FL (Preferred) Clearance: (At ... AI, Data Engineering & Analytics • Develop and support data pipelines for security and ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Strong software engineering skills in at least one language commonly used for data and services (e ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

Strong software engineering skills in at least one language commonly used for data and services (e ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Tetra Tech

Civil Engineer III

Tampa, FL · On-site +1

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

Worth AI

Engineering Manager

Tampa, FL · Remote

Frameworks: Nest.js, React.js * Data & Messaging: PostgreSQL, Kafka, Redis, Redshift ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

Worth AI

Engineering Manager

Tampa, FL · On-site +1

Frameworks: Nest.js, React.js * Data & Messaging: PostgreSQL, Kafka, Redis, Redshift ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

WorkNovas LLC

.Net Azure Developer

Tampa, FL · Remote

$56.25 - $69.75/hr

Job title: .Net Azure Developer Duration - 6 Months Location - FL remote Key Responsibilities ... Implement Delta Lake-based data architectures to ensure data reliability, performance, and ...

Humana

Lead Data Scientist

Tampa, FL · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Tampa, FL · On-site +1

Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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All JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Spring Hill, FL

Remote Data Engineering information

See Spring Hill, FL salary details

$37.8K

$110.1K

$150.6K

How much do remote data engineering jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote data engineering in Spring Hill, FL is $110,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $116,700.00 per year, depending on experience, location, and employer.

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.

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.

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 popular job titles related to Remote Data Engineering jobs in Spring Hill, FL? For Remote Data Engineering jobs in Spring Hill, FL, the most frequently searched job titles are:
What cities near Spring Hill, FL are hiring for Remote Data Engineering jobs? Cities near Spring Hill, FL with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Spring Hill, FL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $110,051 per year, or $52.9 per hour.

Data Engineer - Healthcare

Inizio Partners

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Posted 17 days ago

Job description

Position - Data Engineer (Python + React, Healthcare Domain)

Location – Tampa/Remote

Number of positions - 2

Overview

We are seeking a Data Engineer with strong experience in Python and React to build and maintain scalable data-driven applications and platforms in the healthcare domain.

What You'll Do

  • Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend)
  • Design and develop scalable data pipelines, APIs, and frontend dashboards for healthcare workflows
  • Build ETL/ELT pipelines to process clinical, operational, and healthcare datasets
  • Work with healthcare data systems including EHR integrations and healthcare interoperability platforms
  • Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams
  • Integrate with healthcare data standards and systems (e.g., HL7, FHIR, Epic, Cerner environments where applicable)
  • Design and optimize data models, warehouses, and data processing workflows
  • Translate healthcare operational and reporting requirements into scalable data solutions
  • Ensure applications and data platforms meet security, privacy, and compliance requirements (HIPAA-aligned environments)
  • Monitor, debug, optimize, and maintain production data systems and applications
  • Collaborate with cross-functional stakeholders including data analysts, clinicians, operations teams, and software engineers

Required Skills & Experience

  • Strong hands-on experience with Python for data engineering and backend development
  • Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.)
  • Basic to strong experience with React.js frontend development
  • Experience building scalable ETL/ELT pipelines and production-grade data applications
  • Strong understanding of REST APIs and system integrations
  • Experience working with relational and/or NoSQL databases
  • Experience with data warehousing, data modeling, and large-scale data processing
  • Familiarity with cloud platforms and data services (AWS, Azure, or GCP preferred)
  • Ability to work in ambiguous, real-world problem spaces
  • Strong communication skills with technical and non-technical stakeholders
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

Preferred Experience

  • Prior experience in healthcare technology or healthcare systems
  • Familiarity with HL7, FHIR, or EHR systems (e.g., Epic, Cerner)
  • Experience working with healthcare workflows (clinical, operational, or administrative systems)
  • Exposure to regulated environments (HIPAA, security-sensitive systems)
  • Experience with big data technologies and distributed processing systems
  • Experience building analytics dashboards or data visualization platforms
  • Experience working with enterprise-scale data platforms and pipelines