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Java Data Engineer Jobs in Florida (NOW HIRING)

Lennar

Sr Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Spark, Hadoop). * Experience with cloud platforms (AWS, Azure, GCP) and data services ...

Lennar

Sr Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Spark, Hadoop). * Experience with cloud platforms (AWS, Azure, GCP) and data services ...

Lennar Homes

Sr Data Engineer

Miami, FL · On-site

$101K - $137K/yr

Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Spark, Hadoop). Experience with cloud platforms (AWS, Azure, GCP) and data services ...

Inficare Technologies

Senior Java Engineer

Sunrise, FL · On-site

$54.50 - $69.50/hr

Senior Java Engineer Location: Sunrise FL Hybrid - 3 days onsite / 2 days remote Duration ... Develop event-driven architectures using Apache Kafka for real-time member data processing ...

Kemper

Senior Data Engineer

Jacksonville, FL · On-site

$98K - $133K/yr

Provide technical leadership to data engineers, setting standards for solution design, coding ... Snowpark (Python/Java/Scala) * Snowflake Warehouses, Databases, Schemas, RBAC * Snowpipe, Tasks ...

Blue Orange Digital

Senior Data Engineer

Miami, FL · Hybrid

$10K - $12K/mo

The ideal candidate is a US-based Senior Data Engineer who can step into an established enterprise ... Working knowledge of Java sufficient to read, debug, and lightly modify Java-based ETL components.

Worth AI

Principal Data Engineer (Miami)

Miami, FL · On-site

Strong SQL and one programming language (Python or Scala/Java) * Orchestration (Airflow/Dagster/Prefect), transformations (dbt or equivalent), and streaming (Kafka/Kinesis/PubSub) * Data modeling ...

New

SynergisticIT

Full Stack/Java Developer(REMOTE)

Orlando, FL · On-site

$49 - $63.25/hr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

New

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 ...

INSPYR Solutions

Data Engineer - IV

Miramar, FL · On-site

$70 - $80/hr

Experience with multiple programming languages (e.g., Java, C++, C#, Scala). Experience with development platforms (e.g., AWS, Azure, Salesforce, Pega, Docker, Kubernetes). Experience with relational ...

INSPYR Solutions

Data Engineer - IV

Hollywood, FL · On-site

$70 - $80/hr

Experience with multiple programming languages (e.g., Java, C++, C#, Scala). Experience with development platforms (e.g., AWS, Azure, Salesforce, Pega, Docker, Kubernetes). Experience with relational ...

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Java Data Engineer information

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How much do java data engineer jobs pay per hour?

As of Jul 8, 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 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
Sr Data Engineer

Sr Data Engineer

Lennar

Miami, FL • On-site

$101K - $137K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 18 days ago

Lennar rating

8.0

Company rating: 8.0 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

19th of 79 rated construction

Job description

Sr Data Engineer

We are Lennar

Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States.

Join a Company that Empowers you to Build your Future

A Sr. Data Engineer is an experienced professional responsible for leading the development of complex data architectures. The role involves mentoring junior engineers, designing large-scale data solutions, and ensuring the reliability of data infrastructure. This position requires expertise in data engineering practices and a proactive approach to problem-solving.

  • A career with purpose.

  • A career built on making dreams come true.

  • A career built on building zero defect homes, cost management, and adherence to schedules.

Your Responsibilities on the Team

  • Lead the design and implementation of scalable, high-performance data architectures that support diverse data sources, including structured, semi-structured, and unstructured data.

  • Architect and build data pipelines that can process and analyze large-scale datasets in real-time and batch modes.

  • Mentor and guide junior data engineers in best practices, code quality, and technical skills, fostering a culture of continuous learning.

  • Ensure the reliability, efficiency, and security of data pipelines by implementing monitoring, alerting, and automated recovery mechanisms.

  • Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to align data solutions with business needs and goals.

  • Lead the adoption of new technologies and tools that enhance the data engineering capabilities of the team.

  • Oversee the development of data models, schemas, and data marts that enable efficient data analysis and reporting.

  • Implement data governance frameworks, including data lineage, metadata management, and data quality standards.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Management Information Systems, or a related field.

  • 2-4 years of experience in data engineering or a related role, with demonstrated success in delivering data solutions.

  • Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning.

  • Experience with Cloud warehouses like Snowflake, Databricks, and an understanding of their appropriate use cases.

  • Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks (e.g., Apache Spark, Hadoop).

  • Experience with cloud platforms (AWS, Azure, GCP) and data services, such as AWS Redshift, Azure Synapse, or Google BigQuery.

  • Knowledge of big data technologies, including Hadoop, Spark, Kafka, and HBase, with experience in distributed data processing.

  • Familiarity with data orchestration tools, such as MWAA for scheduling and managing data workflows.

  • Nice to have experience with reporting tools such as Power BI and Tableau is a plus

  • Experience with data versioning and testing tools, such as DVC (Data Version Control) and dbt (data build tool).

  • Understanding of data security practices, including encryption, access controls, and data masking.

  • Familiarity with cloud administration in tools such as AWS, dbt, PowerBI, Tableau and Snowflake is preferred.

Life at Lennar

At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits.

Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn for the latest job opportunities.

Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

What Lennar employees say

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About Lennar

Sourced by ZipRecruiter

Since 1954, Lennar has built over one million new homes for families across America. We build in some of the nation’s most popular cities, and our communities cater to all lifestyles and family dynamics, whether you are a first-time or move-up buyer, multigenerational family, or Active Adult.

Industry

Construction

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1954

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