Senior Data Engineer

Senior Data EngineerOur not-so-secret sauce.Award-winning, inclusive, top workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Senior Data Engineer at MMA.Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh (NYSE: MRSH).A day in the life.As a Senior Data Engineer on the MMA National IT Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines in Azure cloud solutions including and not limited to Databricks, ADF and other ETL/ELT tools. It involves developing best practices, reusable code, libraries, and frameworks for cloud-based data warehousing and ETL, and uses multi-cloud, programming languages like Scala, Python, SQL, in Unity Catalog, SQL Server and other RDBMS, NoSQL databases, and design enterprise data warehouse platforms.By fostering collaboration and aligning with business objectives, you will have the opportunity to elevate data models, drive data-driven decision-making, and enhance data accessibility throughout the organization. Join us in championing data-driven decision-making and becoming an essential contributor to our data-driven success.Our future colleague.We'd love to meet you if your professional track record includes these skills: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 (preferred).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, and orchestration/scheduling and workflows.Hands-on experience with Delta Lake features such as Change data capture, ACID transactions, optimization, and schema drifting/evolution.Solid background in data modeling techniques, including normalized, dimensional, and Lakehouse models.Experience handling both batch and real-time/streaming data processing using technologies like Kafka or Event Hub.Strong understanding of data architecture principles, distributed systems, and cloud-native design patterns.Ensure data quality, integrity, and security throughout the data lifecycleBuild, deploy and manage AI and machine learning applications on Databricks using Agents Bricks and custom MCP serversBuild and deploy Databricks Genie workspaces and enable conversational analytics on custom datasetsAlong with above, you will also excel in:Familiarity with CI/CD tools such as Azure DevOps and Git.Experience with Infrastructure as Code (IaC) tools like Terraform and ARM templates.Knowledge of data governance and cataloging solutions, including Unity Catalog for enabling 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 huge plus.Certifications in Databricks, data engineering and Azure cloud is a plus.We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you.Valuable benefits.We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work.Some benefits included in this role are:Generous time off, including personal and volunteeringTuition reimbursement and professional development opportunitiesRemote workCharitable contribution match programsStock purchase opportunitiesWho you are is who we are.We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.#LI-REMOTEThe applicable base salary range for this role is $95,900 to $167,900.The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: June 4, 2026