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!
MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics").
If you need an accommodation due to a disability, please email us at [email protected]. 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.
#BI-Hybrid
Skills Required
- Bachelor's degree in Computer Science or related field (or equivalent)
- 5+ years of experience in data engineering
- Azure platform skills (Azure Data Factory, Azure Functions, Databricks, Cosmos DB, Synapse)
- Strong SQL knowledge
- 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
- Experience 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 (HDFS, YARN, Spark, Hive, NoSQL DBs, Kafka)
- Experience with Shell scripting, Python, Solr, Janus, HBase
- Working knowledge of streaming services (NiFi, Event Hub)
MetLife Compensation & Benefits Highlights
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Retirement Support — Feedback suggests retirement programs pair a 401(k) with company match and additional retirement plan structures, indicating a mature long‑term savings setup. This depth signals stability for employees prioritizing retirement security.
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Healthcare Strength — Comprehensive medical, dental, vision, disability, and life insurance are paired with wellness initiatives and 24/7 EAP access, indicating broad core coverage. HSAs/FSAs and second‑opinion resources further reinforce the healthcare offering.
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Parental & Family Support — Fertility coverage, personalized child/elder‑care guidance, adoption assistance, parental leave, and breast‑milk shipping for traveling nursing parents are highlighted. These supports extend benefits meaningfully beyond the basics.
MetLife Insights
What We Do
We're honored to be No. 10 on Great Place to Work's World's Best Workplaces and recognized in the Fortune 100 Best Companies to Work For® list in 2025. At MetLife, we're leading the global transformation of an industry we’ve defined for over 157 years. At MetLife, every innovation and line of code is a lifeline for our customers and their families—from victims of natural disasters to people living with disabilities and beyond. With operations in more than 40 markets and leading positions across the globe, MetLife fosters an inclusive culture where our people are energized and inspired to deliver for our customers and communities. Join our remarkable journey—one in which you help write the next century of innovation in financial services—because with MetLife, making the world a better place is All Together Possible.
Why Work With Us
At MetLife, you’ll be working for a company whose purpose is to help customers throughout their life’s journey, and often in their most critical time of need. You’ll be a part of developing leading-edge platforms that will have a lasting impact on the lives and well-being of tens of millions of customers.
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MetLife Teams
MetLife Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together



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