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At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.
The Role
Designs and builds enterprise Azure data platforms using Synapse, Databricks, ADLS Gen2, ADF, PySpark, and Spark SQL. Leads data modernization and migration initiatives, develops scalable pipelines, implements governance and data quality practices, optimizes performance and cloud costs, and mentors engineers. The role also requires advanced SQL, CI/CD, Azure DevOps, security controls, and experience with data warehouse and medallion architectures.
Summary Generated by Built In
Description and Requirements
Summary
We are seeking a Senior Data Engineer to architect and build modern Azure-based data solutions, lead large-scale data platform modernization initiatives, and mentor junior engineers. The ideal candidate should have deep expertise in Azure Synapse Analytics, Databricks, Azure Data Factory (ADF), and modern data engineering practices. Experience with Informatica PowerCenter is a plus but not mandatory.
Key Responsibilities
Required Skills
Good to Have
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
Summary
We are seeking a Senior Data Engineer to architect and build modern Azure-based data solutions, lead large-scale data platform modernization initiatives, and mentor junior engineers. The ideal candidate should have deep expertise in Azure Synapse Analytics, Databricks, Azure Data Factory (ADF), and modern data engineering practices. Experience with Informatica PowerCenter is a plus but not mandatory.
Key Responsibilities
- Design and implement end-to-end Azure data architectures using Azure Synapse Analytics, Databricks, and ADLS Gen2.
- Lead and support data modernization and migration initiatives to Azure.
- Perform solution assessment, complexity analysis, and migration planning.
- Develop scalable data pipelines using PySpark, Spark SQL, and Azure Data Factory (ADF).
- Implement data engineering best practices including SCD, CDC, UPSERT/MERGE, and data quality frameworks.
- Optimize data processing performance, storage design, and cloud costs.
- Design partitioning, data distribution, and performance tuning strategies.
- Mentor team members and establish coding standards and engineering best practices.
- Drive adoption of AI-assisted development tools such as GitHub Copilot to improve productivity and code quality.
Required Skills
- Strong hands-on experience with:
- Azure Synapse Analytics
- Azure Databricks
- PySpark
- Spark SQL
- Azure Data Factory (ADF)
- Advanced SQL expertise across platforms such as:
- Oracle
- SQL Server
- PostgreSQL
- Experience with Git/GitHub, CI/CD, and Azure DevOps.
- Strong understanding of:
- Data Warehouse Concepts
- Medallion Architecture
- Data Governance
- Data Security (RBAC, Key Vault)
- Experience designing scalable and enterprise-grade data platforms.
Good to Have
- Exposure to Informatica PowerCenter (IPC).
- Experience with Kafka, Azure Event Hubs, or Streaming Architectures.
- Terraform or Infrastructure as Code (IaC).
- Power BI and Analytics solutions.
- AI/ML integration with data platforms.
- Domain experience in Insurance or Financial Services.
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
- Hands-on experience with Azure Synapse Analytics
- Hands-on experience with Azure Databricks
- Hands-on experience with PySpark
- Hands-on experience with Spark SQL
- Hands-on experience with Azure Data Factory
- Advanced SQL expertise with platforms such as Oracle, SQL Server, or PostgreSQL
- Experience with Git or GitHub, CI/CD, and Azure DevOps
- Understanding of data warehouse concepts
- Understanding of medallion architecture
- Understanding of data governance
- Understanding of data security, including RBAC and Key Vault
- Experience designing scalable enterprise-grade data platforms
- Exposure to Informatica PowerCenter
- Experience with Kafka, Azure Event Hubs, or streaming architectures
- Experience with Terraform or Infrastructure as Code
- Experience with Power BI and analytics solutions
- Experience integrating AI or machine learning with data platforms
- Insurance or financial services domain experience
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 offerings include both a company 401(k) match and a pension/cash-balance component for eligible employees, which is highlighted as a notable strength. This combination is described as providing stronger long-term security than a 401(k) alone.
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Healthcare Strength — Health coverage is described as broad with family options and relatively low premiums, and medical, dental, and vision plans are often cited as standouts. Additional wellbeing resources such as counseling, condition-specific programs, and related support further reinforce this area.
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Leave & Time Off Breadth — Paid time off is often characterized as generous, with many noting good work-life balance in several departments. Parental and family support resources also appear in the package, adding flexibility for caregiving needs.
MetLife Insights
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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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MetLife Teams
Product + Tech
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
New York City, NY
Pune, IN
Mexico City, MX
Bridgewater, NJ
Cary, NC
Clark Summit, PA
Greenville, SC
Hyderabad, IN
Tampa, FL
Whippany, NJ
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