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Java Data Engineer Jobs in Philadelphia, PA (NOW HIRING)

Net Orbit

Java Developer(mid-level)

Wilmington, DE · On-site

$49.50 - $64/hr

Sr. Java Developer Wilmington, DE/NYC/Atlanta, GA • Strong Java programming skills • 5-9 years ... understanding of data modeling techniques • Working knowledge of building and deploying ...

Stem Xpert

Java Developer

Philadelphia, PA

$51.50 - $66.50/hr

Java Developer Contract Duration: 12 + months Location: Philadelphia, Pennsylvania 19104 Required ... Data conversion, migrating and reconfiguring files from one format to another * Report generation ...

Apex Informatics

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

Data & APIs: Design RESTful APIs and integrate with NoSQL/Relational databases (e.g., PostgreSQL ... engineering (Java-focused). * 1+ years of experience with cloud-based platforms ( AWS preferred

NetOrbit

Sr. Java Backend Developer

Wilmington, DE · On-site

$49 - $63.50/hr

Sr. Java Developer Wilmington, DE/NYC/Atlanta, GA Need resumes. Resource with 10-15 years hands on ... Spring Core(must) Spring Data Misc. GIT Maven/Gradle Design Patterns Junit/Testing (Version 4+) ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Philadelphia, PA

Java Data Engineer information

See Philadelphia, PA salary details

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How much do java data engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for java data engineer in Philadelphia, PA is $60.97, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $68.89 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 Philadelphia, PA?

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

What job categories do people searching Java Data Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Java Data Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Java Data Engineer jobs?

Cities near Philadelphia, PA with the most Java Data Engineer job openings:

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $126,823 per year, or $61 per hour.

Java Developer(mid-level)

Net Orbit

Wilmington, DE • On-site

$49.50 - $64/hr

Full-time

Re-posted 15 days ago

Job description

Sr. Java Developer
Wilmington, DE/NYC/Atlanta, GA
• Strong Java programming skills
• 5-9 years practical software development experience
• Robust object-oriented design pattern knowledge and implementation experience using Java; Java Backend Developer
• Java Developer - Preferable with Java 1.8 (java 8 features) experience
• Advanced knowledge and experience developing and working with relational databases such as Sybase/MySQL
• Experience with multi-tier application architecture and high performance distributed and in-memory caching solutions
• Strong understanding of data modeling techniques
• Working knowledge of building and deploying distributed systems is good to have
• Experience with cloud technologies (e.g., Kubernetes, Docker, OpenStack) a plus
Must Have
Core/OOPS
• OOPs Concepts & Patterns
• Java Keywords - Static, Final, volatile, synchronized, transient, this super etc.
• Constructors
• Abstract Classes and Interfaces
• Dependency Injection
• Exceptions - Checked, Unchecked
Generics
• Collections - List, Map, Set
• Data Structures & Collections
Spring Framework:
• Spring Core(must)
• Spring Data
Database / ORM
• Cursors (Good)
• SQL Queries - Inner Outer Joins, Group By, Having (Must)
• Stored Procedures (Good have)
• Triggers (Good)
• Hibernate

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