Senior Java Data Engineer - AI-Driven Data Pipelines

re-zoo-me; Virginia (MN); Hybrid; USD 120,000 - 160,000; Full time

Job summary

re-zoo-me seeks a Java Data Engineer with AI expertise to design, build, and maintain scalable data pipelines and curated datasets. You will work with Java, Spring Boot, Python, SQL, and AWS cloud-native services, including Spark, Kafka, and DynamoDB.

The role emphasizes data quality, observability, automation, and AI-assisted development practices within an Agile/Scrum environment. Onsite in McLean, VA or Chicago, IL.

Qualifications

• Experience with Java and Spring Boot.
• Strong Python and SQL skills.
• Experience with AWS data engineering services.
• Hands-on use of DynamoDB, EMR, EC2, Spark and Kafka.
• Ability to design scalable data pipelines and transformations.
• Experience with deployment, troubleshooting, and automated testing.
• Strong data quality, monitoring, and observability.

Responsibilities

• Design, develop, and maintain scalable data pipelines and datasets.
• Build data-intensive apps using Java, Spring Boot, Python, and SQL.
• Develop cloud-native data solutions using AWS services.
• Leverage DynamoDB, EMR, EC2, Spark, and Kafka for data processing.
• Create batch and real-time data pipelines for analytics and operations.
• Implement data integration, validation, and processing frameworks.
• Handle deployment, troubleshooting, and production support.
• Implement automated testing and ensure data quality and observability.
• Collaborate with developers, data engineers, and stakeholders.

Skills

Java

Spring Boot

Python

SQL

Agile/Scrum

Data pipelines

Data transformations

Cloud-native data

AI-assisted development

Data quality

Observability

Automated testing

Problem solving

Tools

DynamoDB

Amazon EMR

Amazon EC2

Apache Spark

Apache Kafka

Job description

re-zoo-me seeks a Java Data Engineer with AI expertise to design, build, and maintain scalable data pipelines and curated datasets. You will work with Java, Spring Boot, Python, SQL, and AWS cloud-native services, including Spark, Kafka, and DynamoDB.

The role emphasizes data quality, observability, automation, and AI-assisted development practices within an Agile/Scrum environment. Onsite in McLean, VA or Chicago, IL.