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Java Data Engineer Jobs in Florida (NOW HIRING)

Hirekeyz Inc

Data QE

Tampa, FL · On-site

$108K - $129K/yr

Technical skills - 1 . ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile methodologies * Design and Develop Automated Data Quality Tests: * Create and maintain automated test ...

Blue Orange Digital

Senior Data Engineer

Miami, FL · Remote

$145K - $175K/yr

Experience: 7+ years of industry experience as a hands‑on practitioner in Data Engineering, with ... Mastery of Python and advanced proficiency in SQL (TypeScript/JavaScript/Java a plus). * Extensive ...

Photon

Sr Java Big Data Developer- Tampa FL

Orlando, FL · On-site

$53.50 - $68.25/hr

Good Data analysis and programing skills and understanding of large datasets (no sql joins) * Good knowledge of Java and spark architecture and design principles * Good experience in Junit/Testing ...

Photon

Sr Java Big Data Developer- Tampa FL

Orlando, FL

$53.50 - $68.25/hr

Good Data analysis and programing skills and understanding of large datasets (no sql joins) * Good knowledge of Java and spark architecture and design principles * Good experience in Junit/Testing ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Florida

Java Data Engineer information

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$19

$45

$63

How much do java data engineer jobs pay per hour?

As of Aug 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 are the key skills and qualifications needed to thrive as a Java data engineer?

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 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 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 popular job titles related to Java Data Engineer jobs in Florida?

For Java Data Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in Florida look for?

The top searched job categories for Java Data Engineer jobs in Florida are:

What cities in Florida are hiring for Java Data Engineer jobs?

Cities in Florida with the most Java Data Engineer job openings:

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,921 per year, or $45.2 per hour.

Google Cloud Data Flow Engineer

Ruri Software Technologies LLC

Tampa, FL • On-site

$108K - $129K/yr

Full-time

Re-posted 6 hours ago

Job description

Job Title: Google Cloud Data Flow Engineer
Duration: 8+ months
Location: Tampa , FL (hybrid)
Position Summary:
Seeking a skilled Google Cloud Data Flow Engineer with a proven track record in leveraging Google Cloud Platform (GCP) tools to design, build, and maintain scalable and reliable data solutions. The ideal candidate will possess deep expertise in GCP tools, especially Dataflow, BigQuery, and Cloud Composer, and will work collaboratively with cross-functional teams to address data-related technical challenges and enhance our data infrastructure.
Key Responsibilities:
1. Design, build, and deploy scalable and robust data pipelines using Google Cloud Dataflow.
2. Harness the capabilities of BigQuery for data analytics, ensuring optimized performance and cost efficiency.
3. Manage workflow orchestration and automation using Cloud Composer.
4. Monitor, troubleshoot, and optimize data pipelines for performance, ensuring data quality and integrity.
5. Stay updated with GCP's latest features and best practices to ensure the company's data infrastructure remains cutting-edge.
6. Document data architectures, processes, and data lineage for transparency and maintainability.
Qualifications:
1. 3-4 years of experience as a data engineer with significant exposure to the Google Cloud Platform.
2. Strong expertise in GCP tools, particularly Dataflow, BigQuery, and Cloud Composer.
3. Strong GCP Dataflow, Java/Python & beam skills, Lead experience for delivery streams.
4. Experience in working with streaming / messaging systems like Kafka, Pulsar, GCP PubSub, RabbitMQ and similar tools. Including connectors for systems like Cassandra.
5. Familiarity with other GCP services such as Cloud Storage, and Dataproc..
6. Strong analytical and problem-solving skills.
7. Familiarity with other cloud platforms (e.g., AWS, Azure) is a plus.
8. Excellent communication skills, both written and verbal.
9. Bachelor's degree in Computer Science, Engineering, or a related field.

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