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.

Department: Engineering
Function: Information Technology
Experience Level: Not Applicable