Senior Data Engineer

At Met Life, 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 Senior Data Engineer is responsible for troubleshooting applications and driving design and delivery across multiple domains, helping shape Met Life'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.

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.

• 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.

• Experience working in large, global enterprises or regulated industries (financial services, insurance, healthcare).
• Exposure to Dev Ops practices, CI/CD pipelines, and automation frameworks.
• Working knowledge of Hadoop ecosystem including HDFS, YARN, Spark, HIVE, No
  
  Sql 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.

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!

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 States, Latin America, Asia, Europe, and the Middle…