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

Full Stack Java Developer

Miami, FL · On-site

$50.25 - $64.75/hr

Role: Full Stack Java Developer Work Location: Miami, FL (Onsite) Duration: Long Term ... Spring Boot, Spring MVC, Spring Data JPA * Microservices Architecture * RESTful API Development

Discuss technical implementation scenarios and collaborate closely with the DevOps team, Data ... React, Python, Java Spring Boot, Azure, Cloud, Kafka Strong knowledge of Agile development ...

Discuss technical implementation scenarios and collaborate closely with the DevOps team, Data ... Expertise in Angular, Node.js, React, Python, Java Spring Boot, Azure, Cloud, Kafka * Strong ...

Sr. Staff Software Engineer- Data

Sunrise, FL · On-site

$109K - $131K/yr

Strong programming skills in Python, Java, Scala, or similar languages used in data engineering. * Deep experience building distributed data systems using GCP services (AWS is also acceptable ...

Sr. Staff Software Engineer- Data

Sunrise, FL · On-site

$109K - $131K/yr

Strong programming skills in Python, Java, Scala, or similar languages used in data engineering. * Deep experience building distributed data systems using Google Cloud Platform services (AWS is also ...

Java Architect

Miami, FL · On-site

$60.25 - $81.25/hr

Company Description The Suneratech IT automation product suite is built to capture relevant data ... Testing, DevOps and Change Management. 12+ years in full stack and/or Java development ...

Java Architect

Miami, FL

$60.25 - $81.25/hr

Company Description The Suneratech IT automation product suite is built to capture relevant data ... Testing, DevOps and Change Management. 12+ years in full stack and/or Java development ...

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust) * Hands-on experience building data pipelines and ETL/ELT workflows on a ...

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust) * Hands-on experience building data pipelines and ETL/ELT workflows on a ...

Showing results 21-40

Java Data Engineer information

See Miami, FL salary details

$25

$57

$81

How much do java data engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for java data engineer in Miami, FL is $57.79, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.29 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 Miami, FL?

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

What cities near Miami, FL are hiring for Java Data Engineer jobs?

Cities near Miami, FL with the most Java Data Engineer job openings:

Managed Services - Senior Data Engineer - Manager

Pwc

Miami, FL • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

The Opportunity
As a Managed Services - Senior Data Engineer - Manager, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. In this role, you will analyze and identify the linkages and interactions between the component parts of an entire system, taking ownership of projects to validate their successful planning, budgeting, execution, and completion.
Responsibilities
- Leading data engineering projects to drive strategic insights and optimize business performance (ETL/ELT integration)
- Developing and implementing innovative data solutions using advanced analytics techniques (DataStage)
- Managing and mentoring teams to enhance their skills and deliver quality client services (pipeline architecture)
- Utilizing business intelligence tools and cloud-based analytics platforms to improve data-driven decision-making (AWS & Redshift)
- Building and maintaining data pipelines and architectures to support analytics initiatives (DB2, SQL Server)
- Collaborating with stakeholders to identify opportunities for data utilization and process improvement (GoldenGate & CDC)
- Overseeing the deployment of scalable data visualization and reporting solutions (performance tuning)
- Promoting the adoption of new technologies and methodologies within data and analytics teams (S3, Glue)
- Addressing and resolving conflicts or issues with clients and team members, escalating when necessary
- Upholding professional and technical standards, including adherence to the firm's code of conduct and independence requirements
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
- Demonstrating proficiency in Business Intelligence and Reporting Tools (BIRT)
- Utilizing Python and Java for data engineering tasks
- Excelling in data visualization with QlikView and Spotfire
- Developing data architecture and pipeline strategies
- Embracing continuous process improvement in data analytics
- Leading teams in data-driven decision-making processes

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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