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

Sr Backend Java Developer

Tampa, FL · On-site

$113K - $147K/yr

Role: Sr Backend Java Developer Location: Tampa, FL Duration: 6 months C2H Rate: Market Need only ... data through MQ/Kafka pipelines. Experience: * Java, Spring Boot, Microservices, Kafka, IBM MQ

Advanced knowledge of application, data, and infrastructure architecture disciplines * Proficiency in one or more modern programming languages; Java, Core Java, Spring Core (IoC), Spring Boot, Data ...

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 ...

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 • ...

Java Fullstack Developer

Tampa, FL · On-site

$49.50 - $64/hr

* Advanced knowledge of application, data, and infrastructure architecture disciplines *Proficiency ... Hands-on experience in coding Microservices in Java, using Messaging Platforms like Kafka etc ...

... data persistence layers using JPA/Hibernate and relational databases (PostgreSQL, MySQL, Oracle ... with QA, DevOps, architects, and business stakeholders to deliver end to end solutions • ...

Full Stack Java Developer

Tampa, FL · On-site

$49.50 - $64/hr

We are looking for a full stack developer Required 5+ years Java Springboot Kafka Oracle/MongoDB ... Expertise in application, data, and infrastructure architecture disciplines e. Understanding of ...

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Java Data Engineer information

See Tampa, FL salary details

$25

$57

$80

How much do java data engineer jobs pay per hour?

As of Jun 18, 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 cities near Tampa, FL are hiring for Java Data Engineer jobs? Cities near Tampa, FL with the most Java Data Engineer job openings:

Sr Backend Java Developer

Tech Tammina LLC

Tampa, FL • On-site

$113K - $147K/yr

Contractor

Posted 14 hours ago


Job description

Role: Sr Backend Java Developer

Location: Tampa, FL

Duration: 6 months C2H

Rate: Market

Need only W2 consultants

Interview: Video round followed by F2F

Project:

  • Modernization – re-write mainframe legacy applications into modern Java-based microservices to handle high-volume trade-clearing and fund-settlement workflows.
  • Teams:  Part of a SQUAD in an Agile-type environment:  1 of 12 members on the Squad made up of mostly Java developers.
  • Will be moving everything to AWS at one point next year so candidates should have AWS experience.
  • Build and enhance high-performance, fault-tolerant Java services that ingest and route large volumes of trades and fund data through MQ/Kafka pipelines.

Experience:

  • Java, Spring Boot, Microservices, Kafka, IBM MQ
  • Trades/funds come in to client's and they are all processed by these applications using MQ to route to the correct place.
  • These applications process tens of millions of trades daily, must be able to optimize code to run faster, develop for cpu memory efficiency, garbage collection.
  • App handles the post trade lifecycle and through the application the trade is confirmed, matched, allocated correctly, and then settled.

Candidates must be have experience with high performance Java applications and MQ/Kafka environments.

REQUIRED:

•            Java

•            Spring Boot

•            MQ

•            Kafka

•            High performance system development rather than web app development.

•            AWS is a plus