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Data Modernization Jobs in Florida (NOW HIRING)

Senior Data Architect

Sarasota, FL ยท On-site

$62.50 - $83.50/hr

Enterprise Data Architecture & Data Modernization Databricks Lakehouse & Delta Lake AWS, Apache Spark, PySpark, SQL Data Governance, ELT & Performance Optimization Architecture Reviews, Risk ...

Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real ...

Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real ...

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

Data Engineers in this program support the command through a combination of data integration and data modernization efforts. Data Engineers will be embedded within AFSOC to provide subject matter ...

Data Engineers in this program support the command through a combination of data governance and data modernization efforts. Data Engineers will be embedded within AFSOC to provide subject matter ...

Experience with data modernization initiatives or cloud migration across multiple systems * Background in data governance frameworks spanning various enterprise applications * Proficiency with ...

New

Business Intelligence Engineer

Tampa, FL ยท On-site

$46.50 - $60.25/hr

In addition, you will support data modernization initiatives, maintain reporting platforms, and drive continuous improvements in data visualization, reporting performance, and analytics delivery.

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Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

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

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
Infographic showing various Data Modernization job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Public Health Data Analyst & Modernization Specialist

Public Health Data Analyst & Modernization Specialist

Apex Informatics

Tallahassee, FL โ€ข On-site

Full-time

Re-posted 8 hours ago


Job description

Job Description: Public Health Data Analyst & Modernization Specialist
Location: Tallahassee, FL - Onsite 5 Days
Contract role
NEED DL COPY AND ATTACHED REFERENCES FORM FOR SUBMISSION
Position Overview: We are seeking a highly experienced and qualified Public Health Data Analyst & Modernization Specialist to contribute to system and data modernization efforts in public health. The ideal candidate will have a strong background in public health, data analysis, and experience working with data visualization platforms.
Key Responsibilities:
  1. System and Data Modernization:
    • Provide expertise in system modernization efforts, focusing on enhancing public health data systems and data infrastructure.
    • Assist in the development and implementation of analytic platforms to support data-driven decisions in public health.
    • Develop and deliver data visualization solutions to present complex data in a user-friendly and actionable format.
  2. Collaboration and Participation:
    • Participate in meetings, workshops, and workgroups related to public health data modernization.
    • Collaborate with stakeholders to identify modernization needs and contribute to planning and execution strategies.
    • Ensure seamless communication between teams to support successful modernization and data integration efforts.

Required Qualifications:
  • Education: Advanced degree in Public Health or related field.
  • Experience:
    • A minimum of 7 years of experience in public health.
    • A minimum of 7 years of experience working with public health data systems and data science.
    • A minimum of 7 years of experience in data analysis.
    • A minimum of 7 years of experience with data analytics and visualization platforms.

Skills and Competencies:
  • Expertise in modernizing public health systems and platforms.
  • Proficient in data analysis techniques and tools, with a strong ability to turn data into actionable insights.
  • Experience with various data visualization platforms to communicate findings effectively.
  • Strong communication and collaboration skills, with the ability to work in interdisciplinary teams.