Data Engineer

•Keep the brokerage dashboard application accurate and timely, so brokers and market leaders can rely on it to improve pipeline accuracy and drive revenue growth.

•Keep the client intelligence platform reliable, so teams can use the unified client view to strengthen engagement, growth strategies, and revenue opportunities.

•Maintain, optimize, and debug Snowflake SQL queries, views, and stored business logic.

•Support, monitor, and update SnapLogic pipelines that move data from source systems into Snowflake.

•Maintain Power BI dashboards, update DAX calculations, and resolve refresh and reporting issues.

•Support R-based data integrity and validation scripts, and help migrate that logic to Snowflake and Python.

•Manage and troubleshoot Salesforce Data Cloud Data Lake Objects (DLOs) and streaming and batch Data Transforms.

•Maintain and update Mule 4 flows and DataWeave transformations for objects not natively supported in Data Cloud.

•Provide coverage across both applications, reducing single points of failure.

•Perform incident triage and root-cause analysis spanning ingestion, transformation, and reporting layers.

•Keep documentation, monitoring, and support runbooks consistent across both applications.

•5+ years in data engineering, integration, or BI support.

•Strong SQL and Snowflake expertise.

•Hands-on experience with at least one of SnapLogic or MuleSoft (Mule 4 and DataWeave), and working proficiency in the other.

•Working knowledge of Power BI and DAX.

•Working experience with Salesforce Data Cloud.

•Ability to read and debug R, with Python for migration work.

•Strong ownership, prioritization, and stakeholder communication skills.

•Experience in a multi-application support or shared-services model.

•Relevant certifications (Snowflake, MuleSoft, Salesforce Data Cloud, Microsoft PL-300).

•Exposure to observability and alerting practices for data pipelines.