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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** MetLife - **Location:** Cary, NC, United States - **Experience:** Expert - **Salary:** $115,000.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** Unit Testing, Microsoft Azure, Big Data, Bioinformatics, Continuous Integration, Data Architecture, Information Engineering, Data Systems, DevOps, Apache Hadoop, Hadoop Distributed File System, Apache HBase, Apache Hive, Systems Analysis, Python (Programming Language), NoSQL, Scrum Methodology, Systems Development Life Cycle, Shell Script, Apache Solr, Janus, Apache Yarn, Azure Data Factory, Apache Spark, Information Technology, Apache Kafka, Cosmos DB, Apache Nifi, Software Coding, Azure Synapse Analytics, Serverless Computing, Databricks - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a7f1eb8e2a6e504b ## About the Role * Bachelor's degree or 4-year college degree or equivalent in Computer Science or related field required. * 5 + years of experience in data engineering. * Well versed with Cloud Azure platform skills including most of the following: Azure Data Factory, Azure functions, Databricks, Cosmos DB, Synapse, etc. * Strong SQL knowledge and strong coding skills in Scala or equivalent. * Well versed with Agile Scrum SDLC framework. * Proven ability to lead technical teams and collaborate with cross-functional partners. * Excellent communication and documentation skills., * Experience working in large, global enterprises or regulated industries (financial services, insurance, healthcare). * Exposure to DevOps practices, CI/CD pipelines, and automation frameworks. * Working knowledge of Hadoop ecosystem including HDFS, YARN, Spark, HIVE, NoSql DBs (Hbase etc.), Kafka, etc. * Technical skill sets around Shell Scripts, Python, SOLR, JANUS, Hbase. * Working knowledge of streaming services including Nifi and Event hub. Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office. ## Description The Senior Data Engineer is responsible for troubleshooting applications and driving design and delivery across multiple domains, helping shape MetLife's enterprise data landscape. The ideal candidate brings deep technical expertise in Big Data Platforms including Hadoop and Azure Cloud platforms, with rich experience in operating enterprise-scale data solutions., Functions as a lead to provide systems analysis, troubleshooting support, technical/data design, coding, unit testing, and end-to-end data solution. Ability to lend oversight, enforce guidelines, and support other teams with designing end-to-end solutions. Exhibits technical subject matter expertise in Big Data technologies including Azure Cloud platform and Hadoop framework., 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. ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)