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Java Data Engineer Jobs in Tampa, FL (NOW HIRING)

Wipro Limited

Java Developer

Tampa, FL · On-site

$45K - $121K/yr

Java Developer City: Tampa State/Province: Florida Posting Start Date: 6/30/26 Wipro Limited (NYSE ... Clear understanding of Data Structures and Object-Oriented Principles using Java * Practical ...

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Disys

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job ... Understanding of AWS Big Data components and tools. Strong Java skills with experience in web ...

Disys - Oak Brook

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... Big Data • applications using open source tools such as Scala, Java, Python, Perl and shell ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...

Motion Recruitment

Senior Full Stack Java Developer

Tampa, FL · On-site

$48 - $61.75/hr

Grow your career with an innovative global bank in Tampa, FL as a Full Stack Java Developer with specialization in Big Data and Spark technology. Contract role with strong possibility of extension ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Tampa, FL

Java Data Engineer information

See Tampa, FL salary details

$25

$57

$80

How much do java data engineer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for java data engineer in Tampa, FL is $57.10, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $64.52 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 are popular job titles related to Java Data Engineer jobs in Tampa, FL? For Java Data Engineer jobs in Tampa, FL, the most frequently searched job titles are:
What job categories do people searching Java Data Engineer jobs in Tampa, FL look for? The top searched job categories for Java Data Engineer jobs in Tampa, FL are:
What cities near Tampa, FL are hiring for Java Data Engineer jobs? Cities near Tampa, FL with the most Java Data Engineer job openings:
Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Tampa, FL as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $118,771 per year, or $57.1 per hour.
Senior Java Developer

Senior Java Developer

Ruri Software Technologies LLC

Tampa, FL • On-site

$54 - $69/hr

Full-time

Posted 20 days ago

Job description

Sr. Java Full Stack Developer
Location: Miami, FL OR Dallas, TX (Onsite)
Job Description / Responsibilities:
  • Design, develop, and maintain complex Java-based applications across the full stack, including front-end, back-end, and database layers.
  • A minimum of 9+ years of experience in Java / J2EE Technologies.
  • A minimum of 5+ in JavaScript, HTML, CSS, and develop user interfaces using modern front-end technologies (React, Angular, Node, Typescript).
  • In-depth knowledge on Spring frameworks such as Spring Boot with micro-services, Spring-Security, Spring MVC, Spring Data and JPA, must have hands on experience in Spring reactive and Spring WebFlux.
  • Strong understanding of database technologies in SQL, NoSQL Database. Experience with Cockroach DB or similar distributed SQL databases is preferred.
  • Knowledge of Apache Kafka and Kubernetes is preferred.
  • Proficiency in Cloud Architectures (AWS, Azure, GCP) and Container Security.
  • Comfortable with Continuous Integration/Continuous Delivery tools and pipelines like Jenkins, Cloud Build, Terraform, etc.

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