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Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Aventura, FL

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team in Doral, FL. Key Responsibilities * Design, implement, and maintain secure distributed data ...

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Summary The Lead Data Engineer will design, build, and maintain the organization's enterprise data platform, leading the technical implementation of data pipelines, warehouses, and analytics ...

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

Summary The Lead Data Engineer will design, build, and maintain the organization's enterprise data platform, leading the technical implementation of data pipelines, warehouses, and analytics ...

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

DATA ENGINEER LOCATION :ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience working with Apache Spark framework, Hadoop, Java/Scala, Python * 1+ years of proven experience ...

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

As a Data Engineer, you will be responsible for collecting, analyzing, and interpreting data to provide valuable insights to our organization. You will work closely with various teams to extract ...

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

WellDyne is seeking a Lead Data Engineer to design, build, and maintain the organization's enterprise data platform. This role involves leading technical implementations of data pipelines and ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

The Data Engineer will be responsible for building scalable data systems, integrating data from various sources, and collaborating with teams to enhance analytics and operational efficiency.

Data Engineer

Pensacola, FL · On-site

$108K - $130K/yr

Contribute to the development and enforcement of data engineering standards, policies, and best practices * Support data governance, metadata management, and data quality initiatives * Assist with ...

New

Data Engineer

Miami, FL

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team in Doral, FL. Key Responsibilities * Design, implement, and maintain secure distributed data ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required. Thorough hands-on experience with Salesforce is a must , and experience with BigQuery is also a ...

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. This role ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team in Doral, FL. Key Responsibilities * Design, implement, and maintain secure distributed data ...

Showing results 21-40

Data Engineer information

See Florida salary details

$33.3K

$96.9K

$132.6K

How much do data engineer jobs pay per year?

As of Aug 12, 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.

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 is a data engineer?

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
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 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:
Infographic showing various Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

$109K - $131K/yr

Full-time

Re-posted 4 days ago


Job description

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.

Primary Responsibilities/Essential Functions

This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.

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 warehouses to support analytics and reporting needs.

· Develop robust ETL processes to integrate structured and unstructured data from diverse sources.

· Ensure high data quality through cleaning, validation, and transformation techniques.

Cloud and Big Data Solutions

· Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.

· Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.

· Manage data lakes to facilitate efficient data access and processing for downstream applications.

Database and Data Warehousing

· Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.

· Lead database architecture efforts, including schema design, query optimization, and performance tuning.

· Oversee the design and management of data warehouses, ensuring reliability, scalability, and security.

Software Development and Automation

· Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.

· Implement scripting automation using Bash and PowerShell to streamline workflows.

· Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.

Collaboration and Leadership

· Act as a technical leader, providing guidance on best practices.

· Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.

· Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.

· Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.

Required:

· Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

· 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.

· Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).

· Deep understanding of big data tools (Hadoop, Spark) and ETL processes.

· Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).

· Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.

· Experience designing and managing data warehouses for performance and scalability.

· Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.

Preferred

· Strong experience in software architecture, design patterns, and code optimization.

· Expertise in Python-based pipelines and ETL frameworks.

· Experience with Azure Data Services and Databricks.

· Excellent problem-solving, analytical, and communication skills.

· Experience working in agile environments and collaborating with diverse teams.