Associate Staff Engineer (Power BI)

Requirements Experience : 4+yrs Relevant experience in data engineering, data integration, business intelligence, or application support. Expert-level proficiency in Power BI, including dashboard development, DAX calculations, data modeling, refresh management, and troubleshooting. Strong hands-on expertise in Snowflake, including SQL query optimization, views, and stored business logic. Hands-on experience with SnapLogic and MuleSoft, including Mule 4 and DataWeave, with strong proficiency in at least one and working knowledge of the other. Practical experience with Salesforce Data Cloud, including Data Lake Objects (DLOs), streaming and batch Data Transforms, and data integration. Strong understanding of data ingestion, transformation, integration, and reporting workflows. Ability to read, understand, and debug R scripts, with working knowledge of Python for data logic migration and validation. Experience troubleshooting data pipeline failures, data quality issues, dashboard refresh errors, and integration problems. Strong analytical, problem-solving, prioritization, and incident management skills. Excellent ownership, documentation, and stakeholder communication skills. Experience working in a multi-application support or shared-services environment is preferred. Exposure to data pipeline observability, monitoring, alerting, and operational support practices is preferred. Relevant certifications in Snowflake, MuleSoft, Salesforce Data Cloud, or Microsoft Power BI (PL-300) are desirable. Responsibilities Maintain and support the brokerage dashboard application, ensuring accurate and timely reporting to help brokers and market leaders improve pipeline accuracy and drive revenue growth. Ensure the reliability of the client intelligence platform, enabling teams to leverage a unified client view for stronger engagement, growth strategies, and revenue opportunities. Maintain, optimize, and troubleshoot Snowflake SQL queries, views, and stored business logic. Monitor, support, and update SnapLogic pipelines responsible for ingesting data from source systems into Snowflake. Maintain Power BI dashboards, update DAX calculations, and resolve data refresh, performance, and reporting issues. Support R-based data integrity and validation scripts, and assist in migrating existing logic to Snowflake and Python. Manage and troubleshoot Salesforce Data Cloud Data Lake Objects (DLOs), including streaming and batch Data Transforms. Maintain and enhance Mule 4 flows and DataWeave transformations for objects not natively supported by Salesforce Data Cloud. Provide cross-application support and operational coverage to minimize single points of failure. Perform incident triage, troubleshoot data issues, and conduct root-cause analysis across ingestion, transformation, integration, and reporting layers. Maintain accurate technical documentation, monitoring procedures, and support runbooks across both applications. Collaborate with stakeholders to prioritize issues, resolve incidents, and ensure business-critical applications remain reliable and performant.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.