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Java Data Engineer Jobs in New York (NOW HIRING)

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 ...

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Data Engineer Location: Jersey City, NJ ( 3 days onsite 2 days remote) Must Have Skills ... Python/Spark/PySpark/AWS THE LEADS MUST be strong in both java & Pyspark (Python + Spark) - 70 ...

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Position Responsibilities Data Engineer Location : Jersey City, NJ / Columbus, OH ( 3 days onsite 2 ... THE LEADS MUST be strong in both java & Pyspark (Python + Spark) - 70% Pyspark - 30% Java * Other 3 ...

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ Role Overview: We are seeking a highly skilled Big Data Engineer with strong experience in Apache Spark, Hadoop ...

Snowflake Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title - Snowflake Data Engineer Contract - 12+ Months Location - NYC Onsite - Monday to Friday ... SQL & Java Integration -- Strong proficiency in complex SQL (window functions, CTEs, merge ...

Data Engineer (Full Time)

Newark, NJ · On-site

$119K - $143K/yr

Programming experience in Python, Java, Scala, or Spark SQL * Experience with Airflow, Azure Data Factory, or AWS Step Functions * Knowledge of Data Warehouses, Data Lakes, Relational & NoSQL ...

Data Engineer

Jersey City, NJ · Remote

$117K - $140K/yr

Data Engineer Location: Remote, however travel might be required as per business requirements Where ... Solid programming skills in Python, Java, SQL Querying, and Scala * Familiarity with advanced ...

Data Engineer - Azure

Weehawken, NJ · On-site

$124K - $149K/yr

Proficient in programming languages such as Python, Java, or Scala * Experience with data modeling and database design principles. * Understanding of data warehousing concepts and practices

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby ... Java * - Spring Boot * - Python * - SQL Server * - DB2 * - REST APIs * - Version control (Git ...

Senior Data Engineer-

Jersey City, NJ · On-site

$61 - $80.75/hr

Spark, Scala, Java, AWS (EMR) * Nice to have: Python, S3 EC2, EKS, Hadoop, Impala, Hive, Airflow * Domain knowledge a plus * Data set size is 500m-1b rows per batch * His resume review focuses on ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type ... Spark, Python, Java, Scala, Hive, Kafka, SQL Cloud Platforms: AWS Data Warehousing & Analytics:

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

This is going to act as a tech lead/principal engineer within the Rebate Data Warehouse team. Why ... Java understanding or experience * SnapLogic - thinks this would be easy to pick up Soft Skill ...

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

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

Data Engineer - Intermediate

Manhattan, NY · On-site

$126K - $151K/yr

... Apache Spark (Java). • Work with large, structured and semi-structured datasets on AWS ... for data engineering, security, and documentation. Qualifications : Required : • Strong ...

Big Data Engineer

Jersey City, NJ · On-site

$58.25 - $77/hr

Role: Big Data Engineer Location: Basking Ridge, NJ Duration: 24 Months Job Responsibilities ... Proficiency in programming languages: Java, Python, Scala, and SQL. * Strong analytical ...

Lead Data Engineer

Manhattan, NY · On-site

$80 - $88/hr

Lead Data Engineer New York, NY (10001) 6+ months Contract to Perm About the Role We are seeking a ... Strong proficiency in Python and/or Java with Spark/PySpark. Experience with Data Pipelines, Data ...

Showing results 21-40

Java Data Engineer information

See New York salary details

$29

$66

$93

How much do java data engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for java data engineer in New York is $66.11, according to ZipRecruiter salary data. Most workers in this role earn between $54.42 and $74.71 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 New York?

For Java Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Java Data Engineer jobs in New York look for?

The top searched job categories for Java Data Engineer jobs in New York are:

What cities in New York are hiring for Java Data Engineer jobs?

Cities in New York with the most Java Data Engineer job openings:

Infographic showing various Java Data Engineer job openings in New York as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $137,500 per year, or $66.1 per hour.

Data Engineer

Jersey City, NJ • On-site

Adidev Technologies Inc
IT Services • 11 - 50 employees

$125K - $150K/yr

Full-time

Re-posted 26 days ago


Job description

Job Title: Data Engineer
Job Summary:

We are seeking a skilled and motivated Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining scalable data pipelines, optimizing data workflows, and supporting analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and security across the organization.
Key Responsibilities:
  • Design, develop, and maintain robust and scalable data pipelines (ETL/ELT) using modern data engineering tools and frameworks.
  • Build and optimize data architecture and data models to support analytics and reporting needs.
  • Integrate data from various sources (APIs, databases, cloud storage, etc.) into a centralized data platform.
  • Implement data quality checks and ensure data integrity across all pipelines.
  • Collaborate with stakeholders to understand data requirements and deliver timely, high-quality data solutions.
  • Monitor data pipeline performance and troubleshoot data-related issues.
  • Ensure compliance with data governance and data security policies.
  • Automate manual processes and improve data workflows for efficiency and scalability.
  • Support deployment and operation of data infrastructure in cloud environments (e.g., AWS, Azure, GCP).

Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 2+ years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL).
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, dbt).
  • Proficiency in at least one programming language (e.g., Python, Java, Scala).
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and services like S3, Redshift, BigQuery, or Snowflake.
  • Understanding of data warehousing concepts and dimensional modeling.
  • Experience with version control systems like Git.

Preferred Qualifications:
  • Experience with real-time data processing frameworks (e.g., Kafka, Spark, Flink).
  • Knowledge of CI/CD and DevOps practices in a data engineering context.
  • Familiarity with data governance tools and practices (e.g., data catalogs, lineage tracking).
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

What We Offer:
  • Competitive salary and benefits package.
  • Flexible work hours and remote work options.
  • Opportunity to work with a talented and passionate team on cutting-edge data projects.
  • Professional development opportunities and career growth support.