Data Engineer

When you join Met Life’s Global Technology team, you’ll be part of a forward-thinking group dedicated to shaping the future of digital solutions for customers worldwide. You’ll develop, maintain and support technology applications and delivery, leveraging AI, automation, and contemporary ways of working to enhance experiences and drive business outcomes. Your work will simplify complex processes, improve tech resiliency, and ensure high-performing, seamless solutions that power life’s most important moments.

In this dynamic environment, you’ll collaborate with talented peers across teams and functions, expanding your skills in impactful ways. Ready to push boundaries and set new industry standards? Join us and help drive the future of technology forward.

The Data Engineer (Entry-Level) supports the data and analytics lifecycle and contributes to building production-grade data and analytics solutions under guidance. The role offers exposure to Big Data, Engineering, and Cloud technologies. This is an individual contributor role where the candidate will learn to solve business problems while being mentored by senior Data Engineers.

• 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.

• 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.

• Exposure to Dev Ops practices:
  Git, Azure Dev Ops, or CI/CD pipelines
• Basic Unix shell scripting; awareness of Kafka, MongoDB, or Ni Fi

Location Expectation:
This is a hybrid role requiring a minimum of 3 days per week in office. The expected salary range for this position is $70,000 - $90,000. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by Met Life and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more!

For more information regarding Met Life’s U.S. benefits,

Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, Met Life, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United…