Azure Data Engineer

MetLife
Tampa, FL, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$85,000.0 - $114,000.0
Working hours
Regular working hours
Job source

Tech stack

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)
+13 more
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

Job 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

Requirements

  • 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.

Benefits & conditions

The expected salary range for this position is $85,000 - $114,000. 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 the company

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., 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 [1] #AllTogetherPossible. Join us!

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