Junior Data Engineer - Big Data & AI

MetLife; Cary (NC); Hybrid; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health plan

401(k) with employer matching

Life insurance

Paid time off

Job summary

MetLife's Global Technology team seeks an Entry-Level Data Engineer to support data lifecycles and build production-grade data solutions. You will work with Big Data technologies and be mentored by senior engineers, gaining exposure to Spark, Scala, Hive, HBase, Kafka, and more.

The role is hybrid, requiring 3 days in the Cary, NC office. The salary range is $70,000–$90,000, with potential incentives and stock-based programs; benefits include health, life, 401(k) matching, and more.

Qualifications

• Bachelor's degree in CS/Engineering/IS or related field.
• 1–2 years of software development or data engineering experience.
• Hands-on with Spark, Scala, Hadoop, Hive or related Big Data tech.
• Strong analytical and problem-solving skills.
• Strong verbal and written communication.
• Exposure to Gen AI tools and technology.
• Ability to work in a fast-paced Agile environment.

Responsibilities

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

Skills

Spark

Scala

Hadoop

Hive

Kafka

HBase

Solr

JanusGraph

Education

Bachelor's degree in Computer Science / Engineering / Information Systems

Tools

Git

Azure DevOps

Job description

MetLife's Global Technology team seeks an Entry-Level Data Engineer to support data lifecycles and build production-grade data solutions. You will work with Big Data technologies and be mentored by senior engineers, gaining exposure to Spark, Scala, Hive, HBase, Kafka, and more.

The role is hybrid, requiring 3 days in the Cary, NC office. The salary range is $70,000–$90,000, with potential incentives and stock-based programs; benefits include health, life, 401(k) matching, and more.