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Data Engineer Jobs in Florida (NOW HIRING)

Clarity Innovations

Data Engineer

Hurlburt Field, FL

$73K - $175K/yr

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 ...

Clarity Innovations

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 ...

Clarity Innovations

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Clarity Innovations

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Andromeda Systems Incorporated

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

As a Data Engineer, you will act as a technical leader within the data engineering group. You will work closely with customers, software developers, and cross-functional data professionals to ...

eMed LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed eMed is a pioneering digital-health leader built on its Empathetic AIâ„¢ Population Health Platform.

SECO Energy

Data Engineer

Sumterville, FL · On-site

$113K - $136K/yr

General Purpose of Job Data Engineer role is responsible for design, build, test, deployment, and support of enterprise data pipelines (CI/CD), lakehouse tables, transformation frameworks, change ...

Stellar IT Group

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL (Onsite preferred) Long Term Contract Role Overview We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company ...

Qode

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Job Title: Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team ...

Inizio Partners

Data Engineer

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 ...

Stellar IT Group

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Data Engineer Location: Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month contract Role Overview We are seeking a Data Engineer to support the Finance and BI teams by automating ...

GEI Consultants

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Conch Technologies Inc

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Client: Filthy Food, Location: Miami, Florida, Onsite Role Our client has an immediate need for a Data Engineer who is responsibe for supporting the companies BI structure using Data ...

Dlapiper

Data Engineer

Miami, FL

$109K - $131K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

GEI Consultants

Data Engineer

West Palm Beach, FL

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

VaxCare

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The Data Engineer will contribute to the design, development, and management of data processing and analytics infrastructure, ensuring efficient data pipelines and collaboration with data scientists ...

Kforce Technology Staffing

Data Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data pipelines and feature engineering workflows * Work with SQL and/or cloud-based data ...

PBK

Data Engineer

Orlando, FL

$106K - $128K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader ...

Unicon Pharma Inc.

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and performance) Davie, FL (Onsite) Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week Core Essential ...

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All JobsData Engineer JobsData Engineer Jobs in Florida

Data Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Florida? The most popular types of Data Engineer jobs in Florida are:
What are popular job titles related to Data Engineer jobs in Florida? For Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Florida look for? The top searched job categories for Data Engineer jobs in Florida are:
What cities in Florida are hiring for Data Engineer jobs? Cities in Florida with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in FL? For Data Engineer jobs in FL, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Florida as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
Data Engineer

Data Engineer

Clarity Innovations

Hurlburt Field, FL

$73K - $175K/yr

Other

Posted 15 days ago

Job description

Role

This Data Engineer directly supports the Air Force Special Operations Command based at Hurlburt Field, Florida. 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 expertise and technical capability for integrating complex data used by the command. Data Engineers in this program support AFSOC's initiative to be more capable and effective when leveraging their data resources.

Responsibilities

A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data Engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design. 

The Data Engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.

The Senior Data Engineer shall perform the following tasks:

  • Developing, maintaining, and testing infrastructures for data generation to transform data from various structured and unstructured data sources. 
  • Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
  • Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration. 
  • Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig. 
  • Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
  • Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
  • Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs
Requirements
  • Minimum of 1-year experience is required.
  • Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
  • Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
  • Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
  • A Secret Clearance is required to start
Preferred Qualifications
  • Familiarity with Palantir Envision and/or MSS
  • Familiarity with DoD.
  • Top Secret Clearance with SCI eligibility

Salary Range: $73,000 - $175,000

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