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Weekend Data Engineering Jobs in Florida (NOW HIRING)

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

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 ...

Data Engineer

Orlando, FL

$106K - $128K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field; directly relevant experience, certifications, or training demonstrating comparable ...

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Collaborate with ML and AI teams on data needs Qualifications * 2-5+ years of experience in data engineering * Strong SQL and Python skills * Experience with ETL/ELT pipelines and big data tools

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

Ability to build data models and manage data warehouses. * 3 years of related data engineering/IT experience. * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala ...

Data Engineer

Tampa, FL

$108K - $129K/yr

Participate in code reviews and help establish engineering standards and reusable patterns ... Experience with Azure Data Lake Storage and modern Data Lakehouse architecture * Scripting ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Participate in code reviews and help establish engineering standards and reusable patterns ... Experience with Azure Data Lake Storage and modern Data Lakehouse architecture * Scripting ...

Lead Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Formulate production-grade data engineering solutions for the data and analytics platforms and products * Pipeline Architecture: Architect and implement reliable ETL, ELT, and streaming data ...

Data Engineer - Senior Manager

Miami, FL · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Starburst Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Stay current with data engineering advancements and propose innovative solutions. * Implement best practices for data quality assurance and testing. * Experience with Query Federation solutions ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines. * Proficiency in Python and SQL; experience with PySpark or ...

Minimum Qualifications * 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines. * Proficiency in Python and SQL; experience with PySpark or ...

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Required : • Bachelor's degree in a related field • Six years of experience in data engineering or a related field Company : Broward Health is a nationally recognized system in South Florida ...

Data Solutions Engineer

Saint Petersburg, FL · On-site +1

$91K - $156K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required * 7 years of experience in data engineering, software engineering, systems integration, or a related ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

Key Responsibilities Data Architecture and Engineering • Design and implement scalable data pipelines for data ingestion, transformation, and storage. • Architect and optimize data lakes and data ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Minimum Qualifications * 5 or more years of professional experience * 2 or more years of experience in data engineering, data architecture, or software development--ideally within a Department of ...

Data Solutions Engineer

West Palm Beach, FL · On-site +1

$91K - $156K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required * 7 years of experience in data engineering, software engineering, systems integration, or a related ...

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Weekend Data Engineering information

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:

Data Engineer - Healthcare

Inizio Partners

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Re-posted 9 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