Design build and maintain scalable Databricks-based ETL/ELT pipelines and analytics-ready data products on Azure and on-prem. Partner with business and engineering stakeholders to deliver end-to-end data initiatives apply enterprise design standards optimize production pipelines and present technical solutions to stakeholders.

Description and Requirements
The Team You Will Join
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 Opportunity
The Senior Data Engineer & Analyst is responsible for designing developing and delivering scalable data engineering solutions that enable trusted governed and analytics-ready data across MetLife's Data & Analytics organization.
This role serves as a senior individual contributor responsible for partnering with business and technology stakeholders to build data solutions implement modern data engineering practices and support enterprise data initiatives. The position requires strong technical expertise the ability to work independently and experience delivering complex data engineering solutions using cloud-based platforms and modern data technologies.
Key Responsibilities

• Architect design and build scalable Databricks-based ETL/ELT pipelines and analytics-ready data products across Azure cloud and on-premises environments partnering with Data Modeling Data Governance and Data Architecture teams to apply enterprise design standards such as medallion architecture and dimensional/star-schema modeling
• Partner with business stakeholders across Sales Finance Operations and Technology to translate strategic priorities into scalable data and analytics solutions contributing to enterprise Data & Analytics strategy and domain-driven data products
• Contribute to end-to-end delivery of complex cross-domain data initiatives using Agile/SAFe practices (PI planning sprint execution) applying best practices for ingestion transformation orchestration performance tuning and migration from legacy pipelines to modern platforms
• Design build and estimate solutions independently; monitor optimize and troubleshoot production pipelines to ensure reliability scalability security and compliance; and present solution designs and insights to stakeholders in clear business-focused narratives
• Collaborate with D&A team and cross-functional partners to share technical expertise apply engineering best practices and support a culture of continuous learning and innovation across enterprise data domains

Required Qualifications

• Bachelor's degree in Computer Science Information Technology Engineering Mathematics or a related field.
• 5-8 years of experience in data engineering business intelligence data integration or related technical disciplines.
• ETL/ELT pipelines and data solutions using SQL and Python Scala or similar programming languages.
• Experience working with Databricks and cloud-based data technologies.
• Experience supporting end-to-end delivery of data engineering initiatives from requirements through implementation.
• Strong analytical troubleshooting and problem-solving skills.
• Strong communication and stakeholder management skills.

Preferred Qualifications

• Experience with Azure Data Factory Synapse Event Hub or similar cloud-native data technologies.
• Experience with Spark Delta Lake or distributed data processing technologies.
• Experience with Git Azure DevOps CI/CD pipelines and agile delivery practices.
• Familiarity with data governance data quality and metadata management practices.
• Experience in financial services insurance or another regulated industry.
• Experience with dimensional data modeling data warehousing concepts and analytics-ready data structures.

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.
The expected salary range for this position is $121000 - $155000 . 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 [email protected]. 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.
#BI-Hybrid