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# Data Engineer

- **Company:** MetLife
- **Location:** Cary, NC, United States
- **Experience:** Starter
- **Salary:** $70,000.0 - $90,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Agile Methodology, Artificial Intelligence, Microsoft Azure, Big Data, Information Systems, Information Engineering, Data Transformation, DevOps, Apache Hadoop, Apache HBase, Apache Hive, Unix Shell, MongoDB, Scala (Programming Language), Software Engineering, Apache Solr, SQL Databases, Systems Integration, Janus, Apache Spark, Git, Information Technology, Apache Kafka, Apache Nifi, Data Pipelines
- **Published:** August 21, 2026
- **Apply:** https://dejobs.org/x/x/B6BA178A63BB48E680047071855D84BD/job/

## About the Role

* Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
 * 1-2 years of software development or data engineering experience (including internships, academic projects, or co-op programs).
 * Hands-on experience with Big Data technologies such as Spark, Scala, Hadoop, Hive, or related frameworks.
 * Strong analytical and problem-solving skills.
 * Strong verbal and written communication skills.
 * Exposure to Gen AI technology and tools
 * Ability to work effectively in a fast-paced Agile environment.

Preferred Qualifications

 * Exposure to DevOps practices: Git, Azure DevOps, or CI/CD pipelines
 * Basic Unix shell scripting; awareness of Kafka, MongoDB, or NiFi

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

## Description

* Design, develop, test, and maintain Big Data applications and data pipelines within the MDH ecosystem.
 * Develop Spark and Scala-based processing logic for data transformation and curation.
 * Create and optimize Hive and SQL queries to support business and operational requirements.
 * Develop and maintain integrations with HBase, Solr, Janus Graph, Kafka, and downstream applications.
 * Collaborate with team members across Business, Technology, Operations, and D&A capabilities
 * Learn and grow through mentorship from senior Data Engineers
 * Support design, solutioning, and estimation activities as a contributing team member.


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