Senior Big Data Engineer: Java/Kafka/Spark, Hybrid/Remote

Systems Development and Analysis; Arlington (VA); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible hybrid work environment

Competitive compensation and benefits package

Opportunities for professional growth

Job summary

Systems Development and Analysis in Arlington seeks a Senior Big Data Engineer/Java Data Integration Engineer to support enterprise data ingestion and analytics platforms. The candidate will design scalable solutions, develop Java applications, and handle data integration.

Qualifications include a Bachelor's degree and 5-10+ years in Data Engineering or ETL Development. Competitive compensation and a hybrid work model offered.

Qualifications

• 5-10+ years of experience in Data Engineering, Software Engineering, or ETL Development.
• Experience designing and implementing ETL and data integration solutions.
• Strong SQL and relational database experience, including Oracle.

Responsibilities

• Design, develop, and maintain enterprise data ingestion and ETL solutions.
• Build scalable Kafka-based streaming architectures for high-volume data.
• Develop Java-based applications supporting data integration workflows.

Skills

Java

Kafka

Spark

Elasticsearch

SQL

ETL Development

Data Integration

Data Mapping

REST APIs

MongoDB

AWS

Linux

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Apache NiFi

AWS Glue

Talend

Informatica

Pentaho

Docker

Kubernetes

Job description

Systems Development and Analysis in Arlington seeks a Senior Big Data Engineer/Java Data Integration Engineer to support enterprise data ingestion and analytics platforms. The candidate will design scalable solutions, develop Java applications, and handle data integration.

Qualifications include a Bachelor's degree and 5-10+ years in Data Engineering or ETL Development. Competitive compensation and a hybrid work model offered.