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# Azure Data Engineer

- **Company:** MetLife
- **Location:** Cary, NC, United States
- **Experience:** Experienced
- **Salary:** $85,000.0 - $114,000.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Bioinformatics, Computer Programming, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, DevOps, Python (Programming Language), Performance Tuning, DataOps, SQL Databases, Unstructured Data, Enterprise Data Management, Azure Data Factory, Apache Spark, Build Management, Data Lakes, Information Technology, Data Analytics, Data Management, Data Pipelines, Databricks
- **Published:** July 3, 2026
- **Apply:** https://www.careerjet.com/job/usd7a2dcd44632c84ef2bd179e9cab2277/eaa

## About the Role

* Bachelor's degree in Computer Science, Information Technology, or a related field experience.
 * 3+ years of experience in data engineering, including building and maintaining ETL/ELT pipelines for large-scale data processing
 * Strong programming and querying skills in SQL and Python or Scala for data transformation and pipeline development
 * Hands-on experience with Azure and Databricks, including building pipelines using modern data platforms and big data frameworks (e.g., Spark)
 * Experience implementing data engineering best practices, including performance optimization, data quality validation, and scalable pipeline design, * Relevant cloud certifications in Azure or Databricks (e.g., Azure Data Engineer Associate, Databricks Certified Professional)
 * Experience with Unity Catalog, Delta Lake, and Medallion architecture (Bronze/Silver/Gold) in a lakehouse environment
 * Experience in Financial Services / Insurance domain and integration of Data Quality or Data Governance frameworks

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

## 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 scalable, governed data pipelines and data platforms that enable high-quality, trusted data across Finance and Financial Reporting functions in the United States. This role plays a critical part in the end-to-end data and analytics lifecycle, contributing directly to production-grade data solutions and enterprise data platforms. This is an exciting opportunity to work on MetLife's modern lakehouse platform using Azure and Databricks, helping build a unified, reusable data foundation (Bronze/Silver/Gold) that reduces manual effort, improves data quality, and drives faster, more reliable business insights., * Design and build scalable ETL/ELT pipelines using Azure and Databricks to ingest, process, and transform large volumes of structured and unstructured data

 * Develop and manage data solutions leveraging Delta Lake, Medallion architecture (Bronze/Silver/Gold), and Unity Catalog to ensure governed, high-quality data products
 * Support and optimize data pipelines through monitoring, performance tuning, and troubleshooting to ensure reliability, scalability, and efficiency
 * Implement and enhance DevOps practices including CI/CD pipelines and environment promotion across development, QA, and production environments
 * Collaborate with cross-functional teams across Data Governance, Data Quality, Finance, and Technology to deliver reliable data solutions supporting Financial Reporting and enterprise analytics initiatives, 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 accommodations@metlife.com. 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.


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