MetLife · 1 day ago
Lead Data Engineer
MetLife is a leading financial services company recognized for its commitment to customer service and innovation. They are seeking a Lead Data Engineer to design and implement AI-driven data architectures that enhance advanced analytics and business intelligence, playing a key role in transforming legacy systems into modern solutions. This position involves collaboration with global teams to deliver scalable, secure, and high-performance data platforms that drive business value.
Asset ManagementFinancial ServicesInsuranceLife InsuranceRisk Management
Responsibilities
Lead the design and implementation of modern, AI-enabled data Engineering solutions that power advanced analytics and business intelligence
Create scalable, secure, and high-performance data solutions that enable real-time insights and predictive analytics
Oversee data governance, quality, and compliance across enterprise platforms to ensure integrity and trust
Manage end-to-end data engineering processes, including performance optimization and cloud migration strategies
Develop innovative data pipelines and frameworks that support actuarial modeling, reporting, and advanced analytics
Coordinate with actuaries, data scientists, business analysts, and technology teams to deliver integrated, impactful solutions
Qualification
Required
Bachelor's or Master's degree in Computer Science, or a related field (or equivalent experience)
8+ years of experience in data engineering and architecture for enterprise-scale platforms
Expertise in cloud platforms (Azure Databricks) to design and deploy scalable data architectures and solutions
Strong expertise in data technologies such as Apache Spark, along with proficiency in data pipeline tools for building robust ETL processes, and hands-on experience with Databricks features, including Unity Catalog and/or AI/BI Genie
Strong knowledge of SQL, Python, and modern data modeling techniques to optimize performance and enable advanced analytics
Collaborative mindset with the ability to work across actuarial, analytics, and technology teams in a fast-paced environment
Strategic thinker with a passion for innovation and problem-solving in complex data ecosystems
Preferred
Practical experience with leading AI/ML frameworks—including Azure ML, Databricks ML, PyTorch, and MLflow—for developing advanced analytics solutions and predictive models
Ability to drive innovation and mentor teams, fostering best practices in data engineering, governance, and performance optimization
Strong Actuarial business acumen with the ability to translate complex technical solutions into measurable business outcomes
Benefits
Comprehensive health plan that includes medical/prescription drug and vision
Dental insurance
No-cost short- and long-term disability
Company-paid life insurance
Legal services
A retirement pension funded entirely by MetLife
401(k) with employer matching
Group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance
Employee Assistance Program (EAP)
Digital mental health programs
Parental leave
Volunteer time off
Tuition assistance
Company
MetLife
MetLife is a provider of insurance, employee benefits, and financial services .
H1B Sponsorship
MetLife has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (164)
2024 (108)
2023 (113)
2022 (155)
2021 (75)
2020 (81)
Funding
Current Stage
Public CompanyTotal Funding
$500M2024-06-20Post Ipo Debt· $500M
2000-04-14IPO
Leadership Team
Recent News
Private Debt Investor
2026-01-07
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Insurance News in the United States
2025-12-13
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