Be an Early Applicant
At MetLife, we’re a purpose-driven company that helps our customers build a more confident future.
The Role
Design and build end-to-end Azure data platforms (Synapse, Databricks, ADLS Gen2). Lead migrations, develop scalable PySpark/Spark SQL pipelines with ADF, enforce data engineering best practices (SCD, CDC, UPSERT/MERGE), optimize performance and costs, and mentor engineers while promoting CI/CD and AI-assisted tooling.
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
- Azure Synapse Analytics
- Azure Databricks
- ADLS Gen2
- PySpark
- Spark SQL
- Azure Data Factory (ADF)
- Oracle, SQL Server, PostgreSQL (advanced SQL)
- Git / GitHub
- CI/CD practices
- Azure DevOps
- Data warehouse concepts and Medallion Architecture
- Data governance
- Data security (RBAC, Key Vault)
- Designing scalable, enterprise-grade data platforms
- Mentoring and establishing engineering best practices
- Informatica PowerCenter (IPC)
- Kafka or Azure Event Hubs / streaming architectures
- Terraform / Infrastructure as Code (IaC)
- Power BI and analytics solutions
- AI/ML integration with data platforms
- Domain experience in Insurance or Financial Services
What the Team is Saying
Chelsea
Senior Threat Response Engineer
Nick
Assistant Vice President, Developer Platforms
Naren
AVP, Business Analytics
.png)
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
.png)
MetLife Compensation & Benefits Highlights
-
Retirement Support — Retirement support is strengthened by a company‑funded cash‑balance pension alongside a 401(k) with company match—an uncommon combination among large U.S. employers. Pension eligibility begins after one year, reinforcing long‑term savings.
-
Healthcare Strength — Health coverage spans medical, dental, vision, and prescription drugs with access to HSAs/FSAs, wellness resources, and expert second‑opinion services. Targeted programs for cancer care, family‑building, menopause, musculoskeletal issues, and diabetes/hypertension broaden the support.
-
Leave & Time Off Breadth — Time away is bolstered by a minimum of 22 days of PTO for U.S. employees plus a paid Volunteer Day, and many hybrid roles receive 10 additional virtual flex days. Flexible work arrangements are also highlighted for applicable roles.
MetLife Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
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.
Gallery
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
Learn more
