ME

Senior Data Engineer

MetLife

UShybrid$115k-$135k/yrPosted Jul 16, 2026
Posting intelligenceActively listed

Skills

databrickshadooppythonazuresparkkafkascalacicd

About the role

General Information

Location

Cary, North Carolina

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

No

Posted Date

16-Jul-2026

Job ID

18943

Description and Requirements

The Team You Will Join

At MetLife, data isn’t just a tool - it is a catalyst for growth. As part of our Data & Analytics organization, you’ll unlock trusted insights that drive bold decisions, power personalized customer experiences, and deliver lasting business impact. Your skills in AI, predictive modeling, and advanced analytics will help solve complex challenges, scale solutions globally, and fuel innovation across every region. We’re building the future of data - one that’s governed responsibly, engineered for scalability, and designed for growth. When you join us, you’re not just supporting the business - you’re empowering it. Let’s transform insight into impact and data into action, together.

The Opportunity

The Senior Data Engineer is responsible for troubleshooting applications and driving design and delivery across multiple domains, helping shape MetLife's enterprise data landscape. The ideal candidate brings deep technical expertise in Big Data Platforms including Hadoop and Azure Cloud platforms, with rich experience in operating enterprise-scale data solutions.

Key Responsibilities

Functions as a lead to provide systems analysis, troubleshooting support, technical/data design, coding, unit testing, and end-to-end data solution. Ability to lend oversight, enforce guidelines, and support other teams with designing end-to-end solutions. Exhibits technical subject matter expertise in Big Data technologies including Azure Cloud platform and Hadoop framework.

Required Qualifications

Bachelor’s degree or 4-year college degree or equivalent in Computer Science or related field required.

5 + years of experience in data engineering.

Well versed with Cloud Azure platform skills including most of the following: Azure Data Factory, Azure functions, Databricks, Cosmos DB, Synapse, etc.

Strong SQL knowledge and strong coding skills in Scala or equivalent.

Well versed with Agile Scrum SDLC framework.

Proven ability to lead technical teams and collaborate with cross-functional partners.

Excellent communication and documentation skills.

Preferred Qualifications

Experience working in large, global enterprises or regulated industries (financial services, insurance, healthcare).

Exposure to DevOps practices, CI/CD pipelines, and automation frameworks.

Working knowledge of Hadoop ecosystem including HDFS, YARN, Spark, HIVE, NoSql DBs (Hbase etc.), Kafka, etc.

Technical skill sets around Shell Scripts, Python, SOLR, JANUS, Hbase.

Working knowledge of streaming services including Nifi and Event hub.

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 $115,000 - $135,000. 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.

Benefits We Offer

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 MetLife 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!

About MetLife

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®, MetLife, 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 States, Latin America, Asia, Europe, and the Middle East.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.

Compensation

This Data Engineer role pays $115k-$135k/yr. Within typical range for data engineer roles in United States.

Questions about this role

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Compensation for Data Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for United States medians across recent openings.

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