Data Engineer II

MetLife; Bridgewater (MA); Hybrid; USD 103,000 - 133,000; Full time

Benefits offered by this job

Health insurance

401(k) with employer matching

Paid time off

Job summary

MetLife is seeking a Data Engineer to design, build, and maintain production-grade ETL/ELT data pipelines and analytics-ready data products powering MetLife’s data ecosystem. This role emphasizes Databricks, Azure cloud, and scalable data solutions across our global organization.

The engineer will partner with governance, modeling, and BI teams to enable analytics via Power BI, Cognos, or similar tools, while ensuring data quality, security, and compliance. Hybrid role in the United States.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
• 3–5 years of experience in data engineering, data integration, or a related technical discipline.
• Experience developing solutions using SQL and Python, Scala, or a similar programming language.
• Experience working with Databricks or comparable cloud data platform technologies.
• Experience with ETL/ELT development, data integration, and data transformation processes.
• Understanding of dimensional data modeling and data warehousing concepts.
• Experience working with cloud technologies such as Azure, AWS, or GCP.
• Strong analytical, troubleshooting, and problem-solving skills.
• Strong written and verbal communication skills.

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines and reusable data assets (batch and near-real-time) on Databricks and Azure cloud or on-premises environments to ingest, transform, and publish curated, analytics-ready data.
• Partner with data modelers, Data Governance, and Data Architecture teams to implement scalable dimensional data models (star schemas) and ensure solutions support downstream consumption in Power BI, Cognos, or similar BI tools.
• Apply best practices for data ingestion, transformation, orchestration, and performance optimization, and contribute to migration from legacy pipelines to modern Databricks-based platforms.
• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, security, and compliance with data quality and governance standards.
• Collaborate with a cross-functional project team, including Business, Technology, Operations, and Data & Analytics partners (Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, DevOps, BI & Insights), to deliver end-to-end solutions aligned with Agile/SAFe practices (PI planning, sprint execution).

Skills

SQL

Python

Scala

Big Data

Data modeling

Cloud platforms

Analytical thinking

Communication

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics

Tools

Databricks

Azure

AWS

GCP

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 Opportunity

The Data Engineer is responsible for designing, building, and maintaining production-grade ETL/ELT data pipelines and analytics-ready data products that power MetLife’s data and analytics ecosystem across our global Data & Analytics organization. This is an exciting opportunity to apply your Big Data, engineering, and Databricks/cloud expertise as an individual contributor, working closely with a project team to deliver reliable, scalable, and trusted data solutions.

Key Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines and reusable data assets (batch and near-real-time) on Databricks and Azure cloud or on-premises environments to ingest, transform, and publish curated, analytics-ready data
• Partner with data modelers, Data Governance, and Data Architecture teams to implement scalable dimensional data models (star schemas) and ensure solutions support downstream consumption in Power BI, Cognos, or similar BI tools
• Apply best practices for data ingestion, transformation, orchestration, and performance optimization, and contribute to migration from legacy pipelines to modern Databricks-based platforms
• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, security, and compliance with data quality and governance standards
• Collaborate with a cross-functional project team, including Business, Technology, Operations, and Data & Analytics partners (Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, DevOps, BI & Insights), to deliver end-to-end solutions aligned with Agile/SAFe practices (PI planning, sprint execution)

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
• 3–5 years of experience in data engineering, data integration, or a related technical discipline.
• Experience developing solutions using SQL and Python, Scala, or a similar programming language.
• Experience working with Databricks or comparable cloud data platform technologies.
• Experience with ETL/ELT development, data integration, and data transformation processes.
• Understanding of dimensional data modeling and data warehousing concepts.
• Experience working with cloud technologies such as Azure, AWS, or GCP.
• Strong analytical, troubleshooting, and problem-solving skills.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with Azure Data Factory, Synapse, Event Hub, or comparable cloud-native data technologies.
• Experience with Spark, Hadoop, Hive, or other distributed data processing technologies.
• Familiarity with CI/CD tools, Git, and DevOps practices.
• Familiarity with data quality and governance concepts.
• Experience with Power BI, Cognos, Tableau, or similar reporting platforms.
• Experience working in Agile delivery environments.
• Exposure to financial services, insurance, or other regulated industries.

Location Expectation: This is a hybrid role r requiring a minimum of 3 days per week in office.

The expected salary range for this position is $103,000 – $133,000. 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 [e-mail]. 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.