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Java Data Engineer Jobs in Deer Park, NY (NOW HIRING)

... Java, Scala, or similar programming languages. Advanced SQL expertise, including performance tuning and optimization across large datasets. - Deep experience with Apache Spark and cloud-native big ...

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Lead Data Engineer (Bank Tech)

New York, NY · On-site

$112K - $147K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Data Engineer, GCS Data Science

New York, NY · On-site

$125K - $150K/yr

Experience with one or more general purpose programming languages (e.g., Python, C/C , Java). Preferred qualifications: * Experience working in a data science environment, supporting feature ...

Lead Data Engineer (Bank Tech)

New York, NY · On-site

$112K - $147K/yr

Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for ...

Data Engineering is responsible for the development and delivery of our most important asset - our ... Java, or other modern programming languages used for large-scale distributed processing ...

Data Engineer - New York

New York, NY · On-site

$125K - $150K/yr

Experience with high-throughput, low-latency programming in C#, F#, C++, or Java is a plus. * Advanced SQL skills and experience with modern data storage and querying technologies such as Snowflake ...

Data Engineer - New York

New York, NY · On-site

$125K - $150K/yr

Experience with high-throughput, low-latency programming in C#, F#, C++, or Java is a plus. * Advanced SQL skills and experience with modern data storage and querying technologies such as Snowflake ...

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Proficiency in SQL, PL/SQL, T-SQL, Hadoop, Python, and Java. Optimization: Hands-on experience in ... Data Operations: Experience with ETL processes and QA within a SQL environment. Experience ...

Sr. Data Engineer I

New York, NY · On-site

$116K - $157K/yr

Senior Data Engineer I - Scibids Role: Senior Data Engineer I - Scibids Location: New York, NY ... You have strong programming skills in Python and SQL; experience with Java, Rust, or similar ...

Java Engineer (Multicast)

New York, NY · On-site

$56.50 - $77.75/hr

Java Engineer (Multicast) Location: New York, NY Type: Direct Hire Client located in New York, New ... This position reports to the VP of Data Services and participates on a four person team of ...

Proficiency in SQL and experience with scripting languages such as Python, Java, or Scala ... Data Engineer". Please note that we are unable to respond to general status inquiries or other ...

New

Proficiency in SQL and experience with scripting languages such as Python, Java, or Scala ... Data Engineer". Please note that we are unable to respond to general status inquiries or other ...

New

Showing results 41-60

Java Data Engineer information

See Deer Park, NY salary details

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How much do java data engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for java data engineer in Deer Park, NY is $62.84, according to ZipRecruiter salary data. Most workers in this role earn between $51.73 and $71.01 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?

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 popular job titles related to Java Data Engineer jobs in Deer Park, NY?

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

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

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

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

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

Lead Core Java Big Data Developer

Innovizant LLC

New York, NY • On-site

Full-time

Re-posted 26 days ago


Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Lead Core Java Big Data Developer
Location: New York City, NY
Full Time (Direct Hire)
Job Description:
The Platform Engineer will be responsible for designing and delivering next generation event processing, alerting and analytics system in a lead role. The candidate would-be hands-on developer working within Client's Global Markets Equities Data and Analytics group.
The Data and Analytics team is responsible building systems that help the Bank leverage the power of data helping a wide variety of users including front office execution services consultants, sales traders, data scientists and compliance.
Responsibilities
  • Design and develop distributed, high volume, high velocity multi-threaded event processing systems using Core Java technology stack in an agile setting
  • Provide technical vision and direction for the product
  • Lead a global team of developers
  • Provide high operational excellence guaranteeing high availability and platform stability

Required Skills
  • 5+ years of recent Core Java development experience
  • 3+ years of experience developing distributed multi-threaded systems
  • Excellent understanding of object-oriented design and development principles
  • 3+ years of experience in developing large scale, fault tolerance systems with Apache Kafka, Apache Storm, NoSQL databases or related technologies
  • Experience with other Big Data frameworks is plus
  • Experience with DevOps model and tools like Ansible is a plus
  • Team player with excellent interpersonal skills and integrity
  • Experience in the financial industry is a plus
  • Bachelor's degree or equivalent in Computer Science or similar

What are the 3-4 non-negotiable requirements on this position?
• 5+ years of recent Core Java development experience
• 3+ years of experience developing distributed multi-threaded systems
• 3+ years of experience in developing large scale, fault tolerance systems with Apache Kafka, Apache Storm, NoSQL databases or related technologies
What are the nice-to-have skills?
• Experience with other Big Data frameworks is plus
• Experience with DevOps model and tools like Ansible is a plus
• Experience in the financial industry is a plus
Qualifications
Java, Spring, Multithreading, Big Data, Hadoop, Kafka, Storm, NOSQL, Ansible, Financial
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com