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Java Data Engineer Jobs in Florida (NOW HIRING)

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 ...

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Data Engineer

Orlando, FL · On-site

$90K - $110K/yr

Data Engineer ONLY CONSIDERING CANDIDATES LIVING IN ORLANDO FLORIDA AREA * MUST BE AUTHORIZED TO ... Proven experience with the Apache Spark framework, Hadoop, Java/Scala, Python, and AWS architecture.

Data Engineers

North Palm Beach, FL · On-site

$114K - $137K/yr

Must haves: * 4+ years of Data Engineer experience (or similar) * Java * Python * Spark * Cloud experience (AWS or Azure) * Data Modeling * IoT Data (Internet of Things) (EX: Smart Home devices ...

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Data Engineer

Orlando, FL · On-site

$90K - $110K/yr

Data Engineer ONLY CONSIDERING CANDIDATES LIVING IN ORLANDO FLORIDA AREA * MUST BE AUTHORIZED TO ... Proven experience with the Apache Spark framework, Hadoop, Java/Scala, Python, and AWS architecture.

Data Engineer

Orlando, FL

$106K - $128K/yr

Data Engineer - Contract to Hire Location: Orlando, FL 32801 Pay: $90,000-$110,000 Schedule: Mon ... Proven experience with the Apache Spark framework, Hadoop, Java/Scala, Python, and AWS architecture.

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL ...

Data Engineer

Miami, FL

$120K - $180K/yr

Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks. * Soft ... Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines. * Knowledge of ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

* Has to be a hands on developer, can understand business requirements * SQL, Python/Java, Snowflake, PowerBI * AWS, S3, EC2 Job Requirements * Has to be a hands on developer, can understand business ...

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Experience: 5+ years of industry experience as a hands‑on practitioner in Data Engineering. Note ... Advanced proficiency in Python and SQL (TypeScript/JavaScript/Java a plus). * Proven experience ...

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks. * Soft ... Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines. * Knowledge of ...

Data Engineer

Miami, FL

$120K - $180K/yr

Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks. * Soft ... Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines. * Knowledge of ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

... Must Haves * 5+ years of Java/Python development experience * Strong knowledge of SQL and ... Experience in data integration/data quality/Data catalog, related tools, and frameworks * Strong ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Scala, Java, Kotlin, Go, Rust, C#, F#, C, C++. * Experience building data ingestion pipelines for a ...

Lead Data Engineer

Orlando, FL

$106K - $128K/yr

Lead Data Engineer Apply now Job no: 662069 Work type: Regular (Full-Time) Location: Orlando ... Java/C# * Able to work in and with Cloud and non-cloud technologies like AWS, Azure, Hadoop etc.

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Java Data Engineer information

See Florida salary details

$19

$45

$63

How much do java data engineer jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for java data engineer in Florida is $45.15, according to ZipRecruiter salary data. Most workers in this role earn between $37.16 and $51.01 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

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

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What cities in Florida are hiring for Java Data Engineer jobs? Cities in Florida with the most Java Data Engineer job openings:

Big Data Engineer (Google Cloud Platform, Java & Cloud Platforms)

Select Jarvis.com

Sunrise, FL

$57.25 - $74.50/hr

Other

Posted yesterday


Job description

Senior Big Data Engineer (Google Cloud Platform,Java & Cloud Platforms)
Location: Sunrise, FL | Job Type: Full-Time / Contract

About the Role:
We are seeking a highly skilled Senior Big Data Engineer to design, develop, and support scalable data processing solutions. In this role, you will bridge the gap between complex data architecture and real-time streaming, leveraging a robust tech stack to drive enterprise-grade data engineering initiatives.

What You’ll Be Doing:

Data Architecture: Design and implement scalable big data pipelines and distributed systems.

Hands-on Development: Perform end-to-end software development using Java to build high-performance data applications.

Streaming & Integration: Build and manage real-time data streaming solutions utilizing Kafka.

Cloud Engineering: Leverage cloud-native services within AWS and Google Cloud Platform ecosystems to host and optimize data processing environments.

System Optimization: Troubleshoot performance bottlenecks, conduct code reviews, and ensure data integrity across large-scale distributed databases.

What You Need to Succeed:

Technical Experience: Strong professional experience in Big Data engineering and Java application development.

Core Tech Stack: Expert-level knowledge of Java and Kafka for building robust, real-time data integrations.

Cloud Proficiency: Proven experience working within both AWS and Google Cloud Platform (Google Cloud Platform) cloud environments.

Data Systems: Strong understanding of relational and NoSQL databases, along with big data processing frameworks.

Problem Solving: Ability to translate complex business requirements into high-performance technical data solutions.

Communication: Exceptional analytical skills with the ability to collaborate with cross-functional technical teams.

Preferred Qualifications:

Familiarity with CI/CD pipelines and automated testing for data workflows.

Experience in designing and maintaining data lakes and warehouses.

Ability to work independently with minimal oversight in a fast-paced environment.