Azure Data Engineer MetLife

• 3.8 Cary, NC Job Details Full-time $85,000
• $114,000 a year 1 day ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Tuition reimbursement Paid time off Parental leave Employee assistance program Vision insurance 401(k) matching Volunteer time off Life insurance Qualifications AI models Performance monitoring Data integrity assurance Cloud analytics services Databricks Data Integration (Data management) Azure Bachelor's degree in information technology Computer Science Predictive modeling analysis Continuous Delivery (CD) implementation Finance Data validation techniques DevOps Improving system uptime or availability Spark System performance optimization Process design Mid-level Scalable systems IT experience within insurance industry 3 years Cataloging SQL Data Architecture Design (Architecture design skills) Bachelor's degree Scala Data quality monitoring Scalability Production monitoring Full Job Description 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 Data Engineer is responsible for designing, building, and maintaining scalable, governed data pipelines and data platforms that enable high-quality, trusted data across Finance and Financial Reporting functions in the United States. This role plays a critical part in the end-to-end data and analytics lifecycle, contributing directly to production-grade data solutions and enterprise data platforms. This is an exciting opportunity to work on MetLife's modern lakehouse platform using Azure and Databricks, helping build a unified, reusable data foundation (Bronze/Silver/Gold) that reduces manual effort, improves data quality, and drives faster, more reliable business insights. Design and build scalable ETL/ELT pipelines using Azure and Databricks to ingest, process, and transform large volumes of structured and unstructured data Develop and manage data solutions leveraging Delta Lake, Medallion architecture (Bronze/Silver/Gold), and Unity Catalog to ensure governed, high-quality data products Support and optimize data pipelines through monitoring, performance tuning, and troubleshooting to ensure reliability, scalability, and efficiency Implement and enhance DevOps practices including CI/CD pipelines and environment promotion across development, QA, and production environments Collaborate with cross-functional teams across Data Governance, Data Quality, Finance, and Technology to deliver reliable data solutions supporting Financial Reporting and enterprise analytics initiatives Bachelor's degree in Computer Science, Information Technology, or a related field experience. 3+ years of experience in data engineering, including building and maintaining ETL/ELT pipelines for large-scale data processing Strong programming and querying skills in SQL and Python or Scala for data transformation and pipeline development Hands-on experience with Azure and Databricks, including building pipelines using modern data platforms and big data frameworks (e.g., Spark) Experience implementing data engineering best practices, including performance optimization, data quality validation, and scalable pipeline design Relevant cloud certifications in Azure or Databricks (e.g., Azure Data Engineer Associate, Databricks Certified Professional) Experience with Unity Catalog, Delta Lake, and Medallion architecture (Bronze/Silver/Gold) in a lakehouse environment Experience in Financial Services / Insurance domain and integration of Data Quality or Data Governance frameworks

Location Expectation:

This is a hybrid role r equiring a minimum of 3 days per week in office. The expected salary range for this position is $85,000

• $114,000 .

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 . 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities.