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Java Data Engineer Jobs (NOW HIRING)

Apex Informatics

$48 - $65.75/hr

Java Data Engineer Contract Hybrid in Pittsburgh Or West coast or NYC OR Remote Requirements: * 7-10 years of experience in Java * Experience in ETL Processes * Experience in data warehousing, data ...

Apex Informatics

java data engineer

$53 - $72.75/hr

Java Data Engineer Contract Hybrid in Pittsburgh Or West coast or NYC OR Remote Requirements: * 7-10 years of experience in Java * Experience in ETL Processes * Experience in data warehousing, data ...

Korn Ferry

Java/ Data Engineer

Dayton, OH · On-site

$50.25 - $69/hr

We have partnered with our client in their search for a Java - Data Engineer in Dayton, OH. Responsibilities * * Design, build, test, and maintain Java-based applications and data-processing ...

Lorven Technologies

Java Data Engineer - NYC, NY

Manhattan, NY · On-site

$57 - $78.25/hr

Our client seeks an Java developer f or a 12 Months p roject in NYC, NY. Below is the detailed ... Working knowledge of big data technologies such as Spark is a plus. * The candidate will working an ...

PointClickCare

Principal Java Data Engineer

What your day-to-day will look like: -Lead and guide the design and implementation of scalable distributed systems based on Java microservices -Engineer and optimize data pipelines using solutions ...

Accord Technologies Inc.

Sr. Big Data Engineer

Charlotte, NC · On-site

$54.50 - $72/hr

Programming: Scala/Python/Java * Data Modeling: SQL, NoSQL (HBase, Cassandra) * CI/CD: Git, Jenkins, Terraform * Banking/financial services experience * Knowledge of data mesh/warehouse/lakehouse ...

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How much do java data engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for java data engineer in the United States is $60.42, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.27 per hour, depending on experience, location, and employer.

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 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 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.

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Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,681 per year, or $60.4 per hour.
java data engineer

java data engineer

Apex Informatics

On-site, Remote

$48 - $65.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Java Data Engineer
Contract
Hybrid in Pittsburgh
Or West coast or NYC
OR Remote
Requirements:
  • 7-10 years of experience in Java
  • Experience in ETL Processes
  • Experience in data warehousing, data modeling, distributed computing frameworks like Apache Spark, understanding of data pipelines, and knowledge of data security practices
  • Experience in retail and ecommerce preferred

Apply