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Java Data Engineer Jobs (NOW HIRING)

Valueprosite

Data Engineer / Java Developer

Dallas, TX · On-site

$50.75 - $65.50/hr

Data Engineer / Java Developer** **Location:** Dallas, TX - Onsite **Experience:** 8-9 Years **Job Type:** Contract **Manager Reference:** Required **Preferred Client Experience:** Ex-Fidelity or Ex ...

Amiseq Inc.

Backend Java Engineer

Sunnyvale, CA · On-site

$60 - $78/hr

Role: - Backend Java Developer Location: Sunnyvale CA (2 days WFO) Type: - 12 months Contract with ... Good data structures and algorithm skills General high-level requirements: * Java * Data structures ...

Jobsbridge

Junior Java Software Engineer

Fresno, CA · On-site

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities: Brokerage platform development -- front and/or back-end, ...

VDart, Inc.

Data Engineer with Java

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer with Java Location: Alpharetta, GA/Berkley Hills NJ(Hybrid) Duration: / Term: C2C Experience Desired: 8+ Years 1. Role Overview * Experienced Data Technical Lead to design, develop, and ...

Zortech Solutions

Lead Data Engineer-Java

Chandler, AZ · On-site

$116K - $140K/yr

Lead Data Engineer-Java Location: Scottsdale AZ (Onsite from Day 1) Duration: FTE or C2H (H1 Transfer works) Must have skill set: Java, Scala, Python, Spark, S3, Glue, Redshift * You have 8+ years of ...

Zortech Solutions

Lead Data Engineer-Java

Arizona City, AZ · On-site

$115K - $138K/yr

Lead Data Engineer-Java Location: Scottsdale AZ (Onsite from Day 1) Duration: FTE or C2H (H1 Transfer works) Must have skill set: Java, Scala, Python, Spark, S3, Glue, Redshift * You have 8+ years of ...

Zortech Solutions

Lead Data Engineer-Java

Phoenix, AZ · On-site

$113K - $136K/yr

Lead Data Engineer-Java Location: Scottsdale AZ (Onsite from Day 1) Duration: FTE or C2H (H1 Transfer works) Must have skill set: Java, Scala, Python, Spark, S3, Glue, Redshift * You have 8+ years of ...

Zortech Solutions

Lead Data Engineer-Java

Glendale, AZ · On-site

$103K - $124K/yr

Lead Data Engineer-Java Location: Scottsdale AZ (Onsite from Day 1) Duration: FTE or C2H (H1 Transfer works) Must have skill set: Java, Scala, Python, Spark, S3, Glue, Redshift * You have 8+ years of ...

Navtech, Inc.

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Big Data Engineer with Java Location: Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big ...

Photon

Java/API Lead - Jersey City

Jersey City, NJ · On-site

Java Data Reconciliation Engineer Summary: We're seeking a skilled Java Data Reconciliation Engineer to join our team and drive the development of robust data reconciliation solutions within our ...

Photon

Java/API Lead - Jersey City

Jersey City, NJ · On-site

Java Data Reconciliation Engineer Summary: We're seeking a skilled Java Data Reconciliation Engineer to join our team and drive the development of robust data reconciliation solutions within our ...

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka. Qualifications * Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related ...

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How much do java data engineer jobs pay per hour?

As of Jul 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 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.
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What cities are hiring for Java Data Engineer jobs? Cities with the most Java Data Engineer job openings:
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Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,681 per year, or $60.4 per hour.
Java Data Reconciliation Engineer- Jersey City

Java Data Reconciliation Engineer- Jersey City

Photon

Jersey City, NJ • On-site

$54 - $74/hr

Full-time

Posted yesterday

Job description


Job Title: Java Data Reconciliation Engineer
Summary:
We're seeking a skilled Java Data Reconciliation Engineer to join our team and drive the development of robust data reconciliation solutions within our financial systems. You will be responsible for designing, implementing, and maintaining Java-based applications to perform complex data reconciliations, identify and resolve discrepancies, and automate data matching processes. The ideal candidate possesses strong Java development skills, experience with data reconciliation techniques, and the ability to integrate with diverse data sources and rules engines.
Key Responsibilities:
Data Reconciliation Development:
Design, develop, and test Java-based applications to automate data reconciliation processes across various financial data sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
Implement efficient data transformation, matching algorithm (deterministic and heuristic) with Java and relevant frameworks.
Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience.
Data Analysis and Matching:
Collaborate with business analysts and data architects to understand data requirements and matching criteria.
Analyze and interpret data structures, formats, and relationships to implement effective data matching algorithms in Java.
Rules Engine Integration:
Integrate Java applications with rules engines (e.g., Drools) to implement and execute complex data matching rules.
Develop Java code to interact with the rules engine, manage rule execution, and handle rule-based decision-making.
Problem Solving and Gap Analysis:
Collaborate with cross-functional teams to identify and analyze data gaps and inconsistencies between systems.
Design and develop Java solutions to address data integration challenges and ensure data quality.
Contribute to the development of data governance and quality frameworks within the organization.
Qualifications and Skills:
Bachelor's degree in Computer Science or a related field.
5+ years of hands-on experience in Java development, preferably with exposure to data-intensive applications.
Strong understanding of data reconciliation principles, techniques, and best practices.
Proficiency in Java, Spring Data, and related technologies for data access and integration (e.g., Spring Data, Hibernate, JDBC).
Experience with rules engine integration and development (e.g., Drools).
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
Excellent communication and collaboration skills to work effectively with business analysts, data architects, and other team members.
Familiarity with data streaming platforms (e.g., Kafka, Kinesis) and data technologies (e.g., Hadoop, Spark) is a plus.

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