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Java Data Engineer Jobs in Florida (NOW HIRING)

Proficiency in programming languages such as Python, Java, or Scala * Familiarity with cloud platforms (e.g., AWS, Azure, GCP) * Experience with data warehousing and data lakehouse solutions (e.g ...

Senior Java Big Data Developer

Tampa, FL · On-site

$125 - $150/hr

Citi is looking for a Senior JAVA Big Data Developer to design, build, and scale high-performance data platforms that power critical business decisions across our global financial institution. In ...

Senior AI / Data Engineer

Celebration, FL

$93K - $127K/yr

The Data Engineer III role, will report to the Senior Manager, Data Services. About The Role & Team ... Strong development skills in cross-platform languages such as SQL, Python, Java, and Apache Spark ...

Showing results 41-60

Java Data Engineer information

See Florida salary details

$19

$45

$63

How much do java data engineer jobs pay per hour?

As of Sep 7, 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 cities in Florida are hiring for Java Data Engineer jobs?

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

Infographic showing various Java Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $93,921 per year, or $45.2 per hour.

Lead Data Engineer - Solutioning

1976 Walt Disney Attractions Technology LLC

Orlando, FL • On-site

$150 - $200/hr

Other

Posted 26 days ago


Job description

Job Posting Title: Lead Data Engineer - Solutioning Req ID: 10155496 Job Description: “We Power the Magic!” That’s our motto at Disney Experiences Technology (DXT).

Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The DXT team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney! This role sits in the Data Products & Platform organization within Disney Experiences Technology (DXT). It works closely with Product Management, Data Architecture, and Data Engineering delivery teams from across the organization. The Lead Data Engineer - Solutioning will report to the Manager of Data Engineering Solutions.

What You’ll Do:
  • Serve as the primary technical counterpart to Product Managers, engaging early in the intake process to assess feasibility, clarify scope, and identify data dependencies
  • Translate business requirements and product requests into well-defined data solution briefs, including data sourcing strategy, transformation logic, and consumption patterns
  • Partner with Data Architects to translate solution requirements into architectural patterns and data model designs that align with enterprise standards
  • Engage in estimation and planning activities, providing sizing guidance and technical risk assessment for product intake requests
  • Lead the design, construction, and management of technology architecture, solutions, and software aimed at gathering, managing, and using both structured and unstructured data from various sources
  • Develop robust processes and structures to optimize data flow, routing, and storage, meticulously considering business and technical requirements, and deploying cloud and local storage solutions as necessary
  • Use advanced technical tools and programming expertise to implement data cleansing, organization, transformation, and maintenance tasks, integrating automation and innovative methodologies like big data, artificial intelligence, and machine learning
  • Define design standards and quality assurance procedures for software and systems development, ensuring seamless data compatibility, operability, and integrity across all data connections, transmissions, and storage systems
  • Analyze internal and external business and product needs regarding data operations, suggesting adjustments and improvements to systems and storage to keep up with ongoing demands
  • Help engage around the estimation and planning of highly sophisticated scalable projects and their budget allocations You will be expected to stay up to date with emerging technologies so you can make informed recommendations May be required to provide support escalation, coordinate the ongoing operations, and support the enhancement of existing tools as needed
Required Qualifications:

Minimum 7 years of related work experience

Advanced development skills in cross-platform coding languages such as SQL, Python, Java, and Scala. SQL and scripting expertise for data extraction, transformation, and building performant datasets, with a focus on automation Extensive experience with relational databases and NoSQL databases (e.g., Snowflake, Databricks, Oracle, MongoDB, DynamoDB, Redis) Proficient in cloud technologies including AWS (e.g., Lambda, Kinesis, DMS, Managed Flink) and Google Cloud Platform (GCP) for data storage, processing, and analysis Comfortable working in an agile environment, collaborating with cross-functional teams, and adapting to changing requirements A visionary who motivates teams to excel and fosters creativity, consistently driving excellence in all endeavors Familiar with SQL, Python, cloud data platforms (AWS, Azure, or GCP), and modern data stack tools such as Snowflake, Databricks, Spark, Airflow, or dbt, with a desire to further develop technical expertise in data engineering tools, methodologies, and emerging technologies

An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging

Preferred Qualifications:

Proven ability to lead technical solutioning sessions with cross-functional stakeholders, including Product Managers, Architects, and Engineering leads A collaborative, solutions-oriented mindset with a track record of driving clarity and momentum in ambiguous or complex delivery environments Strong understanding of data modeling concepts including dimensional modeling, data vault, and medallion/lake house architectures Demonstrated ability to bridge business and technical domains — translating product and stakeholder requirements into executable data engineering solutions Experience in a formal solutions engineering, technical product management, or data product owner capacity Familiarity with data governance, data quality frameworks, and metadata management platforms (e.g., Alation, Unity Catalog, Apache Atlas) Experience with data contract design and producer/consumer interface standards

Required Education:

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Preferred Education:

Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

#DISNEYTECH #LI-AF2

The hiring range for this position in FL is $148,300.00-$198,800.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment: DX Technology

Job Posting Primary Business: Emerging Tech & Data

Job Posting Primary Job Posting Category: Data Engineering

Employment Type: Full time

Primary City, State, Region, Postal Code: Orlando, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted: 2026-07-28

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