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# Azure Data Engineer

- **Company:** MetLife
- **Location:** Tampa, FL, United States
- **Experience:** Experienced
- **Salary:** $85,000.0 - $114,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, 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 Management, Data Pipelines, Databricks
- **Published:** July 3, 2026
- **Apply:** https://dejobs.org/x/x/4999461748BA485BB900CBC7242440C3/job/

## 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

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


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