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Java Data Engineer Jobs in Florida (NOW HIRING)

Java API Engineer

Sunrise, FL

$49.25 - $67.75/hr

Java API Engineer Location: Sunrise, FL (Onsite) Job Type: W2 Contract Only ( No C2C) Visa ... Good understanding of data structures, algorithms, and design patterns. Strong written ...

New

CCaaS Java Engineer

Sunrise, FL ยท On-site

$49.25 - $67.75/hr

CCaaS Java Engineer Sunrise, FL/Phoenix, AZ (Onsite) Must Have Skills: CCaaS/CTI/CRM, IVA, IVR ... Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ...

New

Data Scientist Engineer Join a fast-growing team As a Data Scientist Engineer, you will develop ... Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature ...

Java Developer

Miami, FL

$48.75 - $63/hr

The developer will be asked to aggregate data from several different existing sources and prepare ... Java coding and web applications including Java Server Faces Framework. CGS brings motivated ...

Java Developer

Tampa, FL ยท On-site

$48.25 - $62.25/hr

The developer will be asked to aggregate data from several different existing sources and prepare ... Java coding and web applications including Java Server Faces Framework. CGS brings motivated ...

java developer

Gainesville, FL ยท On-site

$46.25 - $59.75/hr

Job Summary We are looking for a highly skilled Senior Java Developer with strong expertise in ... Spring Data JPA * RESTful Services * API Gateway * OAuth2 / JWT Authentication Microservices ...

Java Backend Engineer[onsite]

Sunrise, FL ยท On-site

$48.25 - $62.50/hr

Java Backend Engineer USC/GC Onsite 3X a week in Sunrise, FL 1 and done interviews Required Skills ... Knowledge of ORMs like Spring Data, Hibernate or similar * Strong knowledge of relational and NoSQL ...

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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 18, 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:

Sr. Java Developer with strong AI/ML exp

Saransh Inc

Lake Mary, FL โ€ข On-site

$50 - $63.75/hr

Contractor

Posted 25 days ago


Job description

Role:ย Sr. Java Developer with strong AI/ML exp
Location:ย Lake Mary, FL (Onsite from Day 1)
Job Type: Long Term Contract
ย 
Job Description:
ย 
Relevant Experience: 10+ Years

Technologies:

  • Transaction Monitoring AML, Fraud, Sanctions Screening OFAC, CDD KYC, Trade Surveillance, Financial Crimes Risk Assessment.
  • Python NumPy, Pandas, TensorFlow/PyTorch.
  • Java Spring Boot, multithreading, JVM optimization.

Required Skills:

  • 10 or more years of experience in data science.
  • Ability to work effectively in a dynamic group that has several concurrent projects.
  • Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
  • Machine learning Artificial Intelligence Implement algorithms and statistical models to automate data analysis, data profiling and data validation.
  • Develop programs and analyze large datasets to uncover answers to complex problems. Should be comfortable writing code and working in a variety of programming languages, such as Java, Python, and SQL
  • Hands on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine tuning, or agent-based architectures.
  • Experience with AI frameworks like Langchain, Llama Index, OpenAI, or similar tools.
  • Proficient with Java, Python, SQL.
  • Build APIs and microservices to support AI functionalities.
  • Optimize code for performance, scalability, and reliability.
  • Participate in code reviews, testing, and debugging.
  • Exposure to MLOps practices and tools.
  • Proficiency in Python NumPy, Pandas, TensorFlow/PyTorch,ย etc.
  • Strong knowledge ofย Java Spring Boot, multithreading, JVM optimization
  • Experience with RESTful APIs, cloud platforms (either AWS, GCP, or Azure), and containerization Docker, Kubernetes
  • Familiarity with version control systems Git and CI CD pipelines.
  • Experience with AI/ML frameworks and libraries.
  • Knowledge of data engineering tools e.g., Apache Kafka, Spark
  • NumPy, Pandas, TensorFlow/PyTorch, etc
  • Spring Boot, multithreading, JVM optimization.
  • Experience with AI ML frameworks and libraries.
  • Data engineering tools (e.g., Apache Kafka, Spark).
  • Experience preferably in one or many of these Transaction Monitoring AML, Fraud, Sanctions Screening OFAC, CDD KYC, Trade Surveillance, Financial Crimes Risk Assessment.