Senior Data Engineer / Power BI Developer

Key Responsibilities
Gather and translate business requirements into scalable analytics and reporting solutions
Analyze source data and transform datasets for business intelligence and reporting use cases
Develop and maintain Power BI reports, dashboards, semantic models, and data solutions
Build and optimize Power BI solutions using Power BI Desktop and Power BI Service
Develop DAX and Power Query solutions for data transformation and analytical requirements
Design dimensional and semantic data models that support scalable reporting
Implement and manage row-level security and Power BI workspaces
Optimize report performance, refresh schedules, and deployment processes
Develop Databricks notebooks and Databricks SQL solutions using Delta Lake and lakehouse architecture
Perform data transformation and preparation within Databricks and integrate Databricks data with Power BI
Use Python, pandas, and PySpark for data analysis, transformation, validation, and automation
Develop complex SQL queries using joins, CTEs, aggregations, and window functions while optimizing query performance
Integrate data from APIs, relational databases, enterprise applications, and flat-file sources
Develop and automate recurring reporting and data-preparation workflows
Validate data, develop KPIs, and ensure reporting accuracy and usability
Analyze data and communicate meaningful business insights to stakeholders
Collaborate with business, analytics, data engineering, and infrastructure teams
Support modernization and consolidation of fragmented reporting environments and redundant dashboards

Required Qualifications
5+ years of experience
Associate's Degree
Microsoft Power BI Data Analyst Certification
Databricks Certification

Skills
Power BI Development
DAX
Power Query
Semantic Modeling
Dimensional Data Modeling
Row-Level Security
Databricks
Python
SQL
Snowflake
Data Lakes and Cloud Data Platforms
Data Integration
Reporting Automation
Report Performance Optimization
Tableau
Grafana
Azure Data Services
CI/CD and Version Control
Machine Learning and Predictive Analytics
Requirements Gathering
Stakeholder Management
Business Insights Communication
KPI Development
Data Validation
Reporting Environment Modernization
Data Governance
Cross-functional Collaboration

Schedule
Start date: 2026-09-23