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At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.
The Role
Design, develop, and maintain cloud-native Azure data solutions, including data lakes, data marts, pipelines, and ETL/ELT processes. Integrate and transform structured and unstructured data using Spark, Python, R, and SQL. Implement Medallion architecture, data modeling, quality standards, CI/CD, secure coding, containerized solutions, and Agile delivery practices.
Summary Generated by Built In
Description and Requirements
Azure Data Engineer
Data Engineer
Role Overview
This role involves designing, developing, and maintaining cloud-native data solutions while working in an Agile environment.
Key Responsibilities
Candidate Qualifications
Skills & Competencies
This is a great opportunity to be part of MetLife's technology transformation journey.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, 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.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
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!
#BI-Hybrid
Azure Data Engineer
Data Engineer
Role Overview
This role involves designing, developing, and maintaining cloud-native data solutions while working in an Agile environment.
Key Responsibilities
- Modern Data Platform Development:
- Build data lake components on cloud-based platforms.
- Design and develop data marts for business analysts and data scientists.
- Data Engineering & Pipelines:
- Design data pipelines to integrate structured, semi-structured, and unstructured data from multiple sources.
- Implement ETL/ELT processes to transform and cleanse data.
- Ensure data quality and transformation rules align with enterprise standards.
- Work with Medallion architecture and implement best practices for data modeling.
- Agile & DevOps Practices:
- Deliver solutions using Agile methodologies in a CI/CD-driven environment.
- Work on containerized solutions (Azure Kubernetes) and scheduling tools like Azure Scheduler.
- Follow secure coding practices and authentication/authorization protocols.
Candidate Qualifications
- Education: Bachelor's degree in Computer Science or equivalent.
- Experience:
- 4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI).
- 2+ years of experience in cloud-based data platform development.
- Expertise in building Azure-based data pipelines, including:
- Azure Data Factory / Synapse
- DataBricks / Synapse Spark Pool
- Cosmos DB
- Azure Data Lake Storage (ADLS)
- Dedicated SQL Pool / Azure SQL
- Azure Logic Apps
- Hands-on experience with data transformation & cleansing using Spark, Python, R, SQL.
- Strong understanding of CI/CD, test-driven development, and domain-driven design.
Skills & Competencies
- Technical Expertise:
- Proficiency in Python, SQL, Spark, Azure Data Factory, and ETL processes.
- Experience in secure coding, authentication, and monitoring tools like Veracode, MS Entra, PingOne.
- Working knowledge of Azure Kubernetes, Azure DevOps, SonarQube, and Azure AppInsights.
- Soft Skills:
- Strong communication and collaboration in global, multi-cultural environments (Japanese experience is a plus).
- Able to work in a high-paced, diverse environment with a can-do attitude.
- Language:
- Business proficiency in English; Japanese language is a plus.
This is a great opportunity to be part of MetLife's technology transformation journey.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, 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.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
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!
#BI-Hybrid
Skills Required
- Bachelor's degree in Computer Science or equivalent
- 4–8 years of experience in data engineering or data application development
- 2+ years of experience in cloud-based data platform development
- Experience building Azure-based data pipelines using Azure Data Factory or Synapse
- Experience with Databricks or Synapse Spark Pool
- Experience with Cosmos DB, Azure Data Lake Storage, Dedicated SQL Pool or Azure SQL, and Azure Logic Apps
- Hands-on experience with Spark, Python, R, and SQL for data transformation and cleansing
- Strong understanding of CI/CD, test-driven development, and domain-driven design
- Experience with secure coding, authentication, and authorization
- Working knowledge of Azure Kubernetes, Azure DevOps, SonarQube, and Azure Application Insights
- Business proficiency in English
- Japanese language proficiency or experience in Japanese environments
What the Team is Saying
Chelsea
Senior Threat Response Engineer
Nick
Assistant Vice President, Developer Platforms
Naren
AVP, Business Analytics
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Laura
Director, Artificial Intelligence
Bill
EVP & Head of Global Technology and Operations
Jing Huang
Software Platform Engineer
Sara Strauch
Portfolio Specialist, Emerging Markets
Dan Xiao
Principal Software Engineer
Cara Mootz
Senior Long-Term Disability (LTD) Claims Specialist
Cara Mootz
Senior Long-Term Disability (LTD) Claims Specialist
Naren Peri
Head of Data and Analytics, Hyderabad
Patricia Hixson
Senior Customer Care Advocate
Jing Huang
Software Platform Engineer
Samantha Heron
VP Global Head of HR Business Controls
Pete Clarke
ADA Unit Leader
Erica Provido
Assistant Vice President
Rene Rivera
Senior Full Stack Software Engineer
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MetLife Compensation & Benefits Highlights
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Retirement Support — Retirement programs include a 401(k) with employer match alongside a company-funded pension for eligible U.S. roles, with an auxiliary match referenced for higher earners. This combination is described as uncommon and valuable among large U.S. employers.
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Healthcare Strength — Health coverage spans company-paid and subsidized medical, dental, vision, disability, and life insurance, complemented by an EAP and no‑cost condition‑management programs (e.g., cancer care, diabetes, musculoskeletal, family‑building). These resources position core coverage and wellbeing supports as a standout element of the package.
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Parental & Family Support — Time‑off and family programs include competitive PTO, paid parental leave (commonly cited at up to 8–10 weeks for eligible U.S. employees), and caregiving supports such as backup child and elder care and adoption assistance. Additional supports like family‑building services and resources for traveling nursing parents are also highlighted.
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The Company
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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About our 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
Typical time on-site:
Flexible
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