Senior Data Engineer

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $95.9k - $167.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Marsh McLennan

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1871

⚖️ Legal

📣 Marketing

💸 Finance

Legal • Marketing • Finance

Marsh McLennan is a leading professional services firm that operates in the areas of risk, strategy, and people. With over 85,000 employees worldwide, the company encompasses four main businesses: Marsh, offering insurance broking and risk management; Guy Carpenter, providing reinsurance and capital strategies; Mercer, specializing in health, wealth, and career consulting; and Oliver Wyman, focusing on strategy, economic, and brand consulting. Marsh McLennan is committed to fostering an inclusive culture, empowering its employees, and delivering innovative solutions to clients globally.

📋 Description

• Develop and maintain scalable data pipelines • Enhance data models and provide subject matter expertise in data acquisition and consumption pipelines • Develop best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL/ELT • Use multi-cloud technologies, Scala, Python, SQL, Unity Catalog, SQL Server, RDBMS, and NoSQL databases • Design enterprise data warehouse platforms • Foster collaboration and align data engineering work with business objectives • Elevate data models and drive data-driven decision-making • Enhance data accessibility throughout the organization • Ensure data quality, integrity, and security throughout the data lifecycle • Build, deploy, and manage AI and machine learning applications on Databricks using Agents Bricks and custom MCP servers • Build and deploy Databricks Genie workspaces and enable conversational analytics on custom datasets • Support machine learning or business intelligence workloads on Databricks

🎯 Requirements

• Minimum of 10 years of practical data engineering experience in enterprise settings • Strong proficiency with Azure services, particularly Azure Databricks, Azure Functions, and Azure Data Factory • Advanced skills in Apache Spark using PySpark, Python, and Databricks SQL, including query optimization and performance tuning • In-depth knowledge of ETL/ELT processes, data pipeline development, orchestration/scheduling, and workflows • Hands-on experience with Delta Lake features including change data capture, ACID transactions, optimization, and schema drifting/evolution • Solid background in normalized, dimensional, and Lakehouse data modeling • Experience with batch and real-time/streaming data processing using Kafka or Event Hub • Strong understanding of data architecture principles, distributed systems, and cloud-native design patterns • Familiarity with CI/CD tools such as Azure DevOps and Git • Experience with Infrastructure as Code tools such as Terraform and ARM templates • Knowledge of data governance and cataloging solutions, including Unity Catalog for attribute- and role-based access controls • Experience supporting machine learning or business intelligence workloads on Databricks • Exposure to insurance and healthcare data domains is a plus • Databricks, data engineering, and Azure cloud certifications are a plus

🏖️ Benefits

• Generous time off, including personal and volunteering • Tuition reimbursement and professional development opportunities • Remote work • Charitable contribution match programs • Stock purchase opportunities • Health and welfare benefits • 401K savings and other retirement programs • Employee assistance programs • Performance-based incentives may be available • Competitive total rewards package