Azure Data Engineer - Synapse

$86,400 - $115,200/Yr

MetLife - Cary, NC

Full-time - Mid Level

Cary, NC

Insurance Carriers and Related Activities

About the position

As a Cloud Data Engineer on the team, you will be responsible for leading the technical design and development of cloud-enabled, DevOps, multi-platform, and cross-functional applications that solve complex business problems. The role will be a highly visible hands-on technology driver supporting platform product development by creating innovative solutions, as well as driving solutions that modernize, stabilize, and support the growth of our portfolio. You will interact with the Agile Release Team (ART), senior Business and IT Leaders, and IT partners, providing technical support throughout the Agile lifecycle. The focus will include solution design, development, CICD, automation, security assessment and resolution, and performance tuning. Data enablement through multiple data stores, supporting different kinds of analytical use cases to be able to derive predictive, prescriptive, and descriptive insights. You will engage with multiple concurrent teams and provide governance to ensure that standards and best practices are followed. As part of a Scaled Agile scrum team, you will develop modern cloud-native and on-prem applications within our Compensation and Producer management ART of MetLife Holdings portfolio. You will lead the technical design, development, and integration of solutions using existing and emerging data platforms. This includes hands-on development and setup of data pipelines, databases, and data sources to build ML and AI applications. You should have an appetite to learn new technologies and be ready to work on new cutting-edge cloud technologies. Your hands-on development will focus on application transformation, modernization, site reliability, containerization, and building data pipelines and ETL solutions in cloud-native technologies. You will participate in fit/gap analysis of requirements, help manage feature deliverables, provide tactical and strategic options to address production issues, and develop code as per modern standards. Additionally, you will mentor, motivate, influence, and coach the broader technical team to help push best practices and understanding of modern design and development practices.

Responsibilities

• Develop modern cloud-native and on-prem applications within the Compensation and Producer management ART of MetLife Holdings portfolio.
• Lead the technical design, development, and integration of solutions using existing and emerging data platforms.
• Hands-on development and setup of data pipelines, databases, and data sources to build ML and AI apps.
• Participate in fit/gap analysis of requirements and help manage feature deliverables.
• Provide tactical and strategic options to address production issues and develop code as per modern standards.
• Mentor, motivate, influence, and coach the broader technical team to help push best practices and understanding of modern design and development practices.

Requirements

• 5+ years of experience in software development with a strong technical understanding of designing and building data pipelines using cloud-native data tools like ADF, Synapse, Power Platform, and Snowflake.
• 5+ years of experience in database setup, performance tuning, and complex data analysis in Azure SQL, DB2, Cosmos DB, MongoDB, etc.
• Hands-on experimentation with prompt engineering, semantic search, and GenAI.
• Excellent verbal and written communication skills as well as ability to establish strong relationships across teams to effectively deliver work across the enterprise.
• Bachelor's degree in computer science, Information Systems, Engineering, or similarly related field.

Nice-to-haves

• Experience using SQL Server Integration Services to develop ETL packages that transform and load data.
• Experience with Power BI.
• Experience with Azure cloud technologies and DevOps products like AzDO.
• Exposure to modern AI concepts such as generative AI, various models of machine learning, large language models, conversational AI (chatbot, etc.) as well as involvement in older concepts like automation, robotics, and scripting.

Benefits

• Comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability.
• Company-paid life insurance and legal services.
• 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.
• Employee Assistance Program (EAP) and digital mental health programs.
• Parental leave and volunteer time off.
• Tuition assistance.