Associate Big Data Engineer

MetLife

Here at MetLife, we believe in the power of collective expertise and diverse perspectives. It takes a village to forge lasting changes the way we do, and our village is made up of dynamic individuals driven by purpose and kindness.

The Opportunity

The Associate Big Data Engineer is responsible for designing, developing, and maintaining scalable data engineering solutions that enable trusted data, advanced analytics, and actionable business insights across MetLife's global operations. This role contributes to MetLife's Data & Analytics vision by supporting the collection, processing, storage, and delivery of structured and unstructured data across cloud and on-premise environments.

Guided by MetLife's purpose of "Always with you, building a more confident future," this position offers an exciting opportunity to work with modern big data technologies, cloud platforms, and enterprise-scale analytics ecosystems. The role provides exposure to end-to-end data engineering practices, collaboration with global teams, and opportunities to contribute to innovative data and AI-driven initiatives that create measurable business value.

Key Responsibilities

• Design, build, and maintain robust ETL/ELT data pipelines on Azure cloud and on-premises platforms for large-scale data ingestion and processing.
• Develop scalable data engineering solutions using technologies such as Apache Spark, Hadoop, Hive, Python, and SQL.
• Ensure data quality, security, governance, and compliance standards are consistently followed throughout the data lifecycle.
• Collaborate with business stakeholders, technology teams, operations teams, and Data & Analytics functions to deliver reliable data solutions.
• Support batch and real-time data processing requirements using cloud-native services including Azure Data Factory, Event Hub, Azure Functions, Databricks, and Synapse Analytics.
• Contribute to data warehouse, data mart, and data lake initiatives to enable enterprise reporting, analytics, and data science solutions.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 0-3 years of experience in Data Engineering, Big Data, Data Analytics, or related technology domains.
• Proficiency in SQL and programming languages such as Python or Scala.
• Experience with ETL/ELT pipeline development and data integration processes.
• Knowledge of Big Data technologies including Apache Spark, Hadoop, and Hive.
• Familiarity with Azure cloud services such as Azure Data Factory, Databricks, Synapse Analytics, Event Hub, and Azure Functions.
• Understanding of NoSQL and distributed databases such as HBase and Cosmos DB.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative and fast-paced team environment.

Preferred Qualifications

• Exposure to GenAI technologies, AI-powered development tools, or machine learning concepts.
• Knowledge of data warehouses, data marts, and data lake architectures.
• Understanding of data governance, data quality, and data modeling principles.
• Experience working in cloud-based data engineering environments.
• Demonstrated curiosity, learning agility, and a passion for emerging technologies and innovation.
• Strong stakeholder management and cross-functional collaboration skills.

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, 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.

As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.

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 #AllTogetherPossible. Join us!

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