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Java Data Engineer Jobs in Brooklyn, NY (NOW HIRING)

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 ...

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

The ideal candidate will have: • 5-10 years of data engineering experience. • Proficient in coding in Python, PySpark, Java 17/21, Spring Boot, and SQL Databases. • Strong hands-on experience ...

Java Software Engineer

Greenwich, CT · On-site

$58 - $79.75/hr

Data model and transport layers. Multithreaded/high throughput. XML. Qualifications 1. Bachelor ... Java. 4. Knowledge of Java Swing and/or strong desire to learn Java Swing. 5. English written ...

Java Software Engineer

Greenwich, CT · On-site

$58 - $79.75/hr

Data model and transport layers. Multithreaded/high throughput. XML. Qualifications 1. Bachelor ... Java. 4. Knowledge of Java Swing and/or strong desire to learn Java Swing. 5. English written ...

Java Developer

Jersey City, NJ · On-site

$55.75 - $72.25/hr

Java Developer New York , NY(Onsite) ROLE_DESCRIPTION - Bachelor's degree (pref. Computer Science ... Java * Data Structures & Algorithms * Spring Framework * JDBC and JPA/Hibernate * Advanced Java ...

JAva big data engineer

Jersey City, NJ · On-site

$54.75 - $70.75/hr

Convert the model to Spark from Data Model in Oracle Exadata * Scala, functional prog paradigm , park eco systems * Functional side of programing (Scala) * Spring boot, java, Scala, park experience

JAva big data engineer

Jersey City, NJ · On-site

$54.75 - $70.75/hr

Convert the model to Spark from Data Model in Oracle Exadata * Scala, functional prog paradigm , park eco systems * Functional side of programing (Scala) * Spring boot, java, Scala, park experience

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

... Java • 2+ years of experience in Scala, Spark and functional programming. Deep knowledge of spark internals such as partitioning, DAG, lazy evaluation. • Strong experience with relational data ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) * Proficiency in atleast one cluster computing frameworks (preferably Spark, alternatively Flink ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java) * 2. Proficiency in atleast one cluster computing frameworks (preferably Spark, alternatively ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Proficiency in at least one programming language (e.g., Python, Java, Scala). * Familiarity with ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Platform Architecture & Pipeline Engineering Design & Build Develop robust, scalable, and ... Programming Strong proficiency in Python , Java , or Scala , alongside expert-level SQL skills.

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Proficiency in at least one programming language (e.g., Python, Java, Scala). * Familiarity with ...

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Java Data Engineer information

See Brooklyn, NY salary details

$28

$63

$89

How much do java data engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for java data engineer in Brooklyn, NY is $63.54, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $71.78 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 Brooklyn, NY?

For Java Data Engineer jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in Brooklyn, NY look for?

The top searched job categories for Java Data Engineer jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Java Data Engineer jobs?

Cities near Brooklyn, NY with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in Brooklyn, NY 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 $132,155 per year, or $63.5 per hour.

Java Data Integration Developer

Jersey City, NJ • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees

Contractor

Re-posted 16 days ago


Job description

Role: Java Data Integration Developer

Location: Poughkeepsie, NY 

Job Requirements: This role will require strong knowledge of transforming and moving very large data & files into an out of our data warehouse for analytical analysis.
Must Have:
- Able to Implement EAI Design Patterns
- Apply knowledge in SDLC
- Apply Knowledge of J2EE & Java
- Develop DB2 Applications in Java SQLJ
- An Application Developer with expertise in Enterprise Application Integration (EAI) specializes in creating message flows using various ESB tools and technologies, such as IBM IIB, Software AG, WebSphere DataPower, SI, Tibco, and Mule.
- They possess extensive knowledge of web services, including SOAP and HTTP protocols, SSL/TLS encryption, and decryption.
- This individual is proficient in the entire software development lifecycle, including problem analysis, requirement analysis, high-level design, low-level design, development, testing, documentation, production support, and configuration of the integration environment.
- Additionally, they have hands-on experience with one or more relational databases, such as IBM DB2 and Oracle.
- Key responsibilities include Integration Design and Development, API development, Data Mapping, Integration testing, Performance Optimization, Troubleshooting and Maintenance

✉️ Yogita@kanakits.com