

iTech US Inc
Sr.Java / Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Java / Data Engineer with a contract length of "unknown," offering a pay rate of "$X/hour." Key skills required include Java 17, Spring Boot, Apache Hive, SQL, ETL, and experience with Docker and Kubernetes.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Unit Testing #SQL (Structured Query Language) #Hadoop #Batch #Microservices #Spring Boot #REST (Representational State Transfer) #"ETL (Extract #Transform #Load)" #Apache Hive #Data Engineering #REST API #Automated Testing #Docker #Java #HDFS (Hadoop Distributed File System) #Data Modeling #Kubernetes #Data Pipeline #JUnit #Agile
Role description
Primary Skills:
• Java 17
• Spring Boot
• Apache Hive / Hadoop / HDFS
• SQL
• ETL / Batch Processing
• Data Pipelines
• REST APIs / Microservices
• Cache Integration (GridGain/Ignite preferred)
• Docker & Kubernetes
• Unit Testing (JUnit/Mockito)
Required Skills
• Strong hands-on experience with Java 17 and Spring Boot.
• Experience with Apache Hive, Hadoop/HDFS, and data engineering.
• Strong SQL and data modeling skills.
• Experience building REST APIs, Microservices, and backend applications.
• Experience with GridGain or Apache Ignite integration is preferred.
• Knowledge of Docker, Kubernetes, and CI/CD.
• Experience with JUnit, Mockito, and automated testing.
• Strong understanding of ETL, batch processing, and Agile development.
Primary Skills:
• Java 17
• Spring Boot
• Apache Hive / Hadoop / HDFS
• SQL
• ETL / Batch Processing
• Data Pipelines
• REST APIs / Microservices
• Cache Integration (GridGain/Ignite preferred)
• Docker & Kubernetes
• Unit Testing (JUnit/Mockito)
Required Skills
• Strong hands-on experience with Java 17 and Spring Boot.
• Experience with Apache Hive, Hadoop/HDFS, and data engineering.
• Strong SQL and data modeling skills.
• Experience building REST APIs, Microservices, and backend applications.
• Experience with GridGain or Apache Ignite integration is preferred.
• Knowledge of Docker, Kubernetes, and CI/CD.
• Experience with JUnit, Mockito, and automated testing.
• Strong understanding of ETL, batch processing, and Agile development.






