Power BI Engineer / Developer

Artech LLC
  • Phoenix, AZ, AZ
  • $40–$42 Per Hour
  • Instant Apply
2 days ago

Job Description

Job Title: Power BI Engineer / Developer
Location: Phoenix, AZ, (Onsite)
Duration: 6 Months


Salary Range: $40.00 - $42.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2.

Required Experience:
  • Overall Experience Required is 5 – 8 years.
  • Must Have 7+ years of hands-on experience in Microsoft Power BI.
Power BI & Business Intelligence:
  • Design, develop, and maintain enterprise-grade Power BI dashboards, reports, and semantic models.
  • Build interactive visualizations that translate complex datasets into actionable business insights.
  • Develop advanced DAX calculations, business logic, and Power Query / M transformations for data cleansing and preparation.
  • Design and optimize semantic models, relationships, star/snowflake schemas, dimensional models, and reusable semantic layers.
  • Implement Row-Level Security (RLS), Import/DirectQuery/composite models, incremental refresh, and data gateways.
  • Establish reusable reporting standards, templates, KPI definitions, and visualization best practices.
  • Manage deployments across development, testing, and production environments; troubleshoot refresh, gateway, semantic-model, and report-performance issues.
  • Use Power BI REST APIs, Tabular Editor, and DAX Studio as needed. Microsoft Fabric experience is highly desirable.
Data Engineering & Analytics
  • Design, develop, and maintain scalable ETL/ELT pipelines integrating structured and semi-structured data from databases, APIs, files, cloud platforms, and enterprise applications.
  • Develop and optimize SQL queries, stored procedures, views, and transformation logic.
  • Build and maintain data warehouses, data lakes, and lakehouse solutions using dimensional modeling and appropriate data architectures.
  • Implement data cleansing, transformation, validation, reconciliation, and data-quality processes.
  • Develop reusable data pipelines and frameworks using Python, PySpark, SQL, and cloud-native services.
  • Implement pipeline monitoring, logging, error handling, alerting, and operational support.
  • Optimize data processing workloads for performance, reliability, scalability, and cost efficiency.
  • Support metadata management, data lineage, governance, and data-quality practices.
DevOps, Governance & Quality:
  • Apply Git-based version control and CI/CD practices using Azure DevOps, GitHub, and Power BI deployment pipelines.
  • Implement data security, role-based access controls, metadata management, lineage, and governance standards.
  • Diagnose performance bottlenecks across SQL queries, data pipelines, semantic models, and Power BI reports.
  • Maintain technical documentation covering architectures, data models, business rules, and operational processes.
Collaboration & Delivery
  • Gather business requirements and collaborate with stakeholders, analysts, data engineers, and technology teams to deliver reliable, governed analytics solutions.
  • Translate business needs into scalable technical designs and actionable reporting solutions.
  • Deliver end-to-end analytics products, from source-data ingestion and transformation through semantic modeling and executive-ready Power BI reporting.
  • Work effectively in Agile and cross-functional environments, communicating technical concepts clearly to technical and non-technical stakeholders.
Preferred Technologies:
  • Microsoft Azure, Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
  • Microsoft Fabric Data Factory, Fabric Data Engineering, OneLake, Lakehouse, and Delta Lake.
  • SQL Server, Azure SQL, and Snowflake.
Key Competencies
  • Stakeholder management and requirements gathering.
  • Analytical thinking and problem-solving.
  • Cross-functional collaboration and communication.
  • Agile delivery and attention to detail.
  • Data accuracy, security, governance, scalability, and maintainability.
 
 

Numbers & Facts

LocationPhoenix, AZ, AZ
Salary$40–$42 Per Hour

Skills

  • Access Controlunmatched
  • Agile Programming Methodologiesunmatched
  • Analysis Skillsunmatched
  • Application Programming Interface (API)unmatched
  • Best Practicesunmatched
  • Business Intelligenceunmatched
  • Business Operationsunmatched
  • Cloud Computingunmatched
  • Communication Skillsunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Cross-Functionalunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Setsunmatched
  • Data Warehousingunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • Detail Orientedunmatched
  • DevOpsunmatched
  • Dimensional Modelingunmatched
  • Enterprise Applicationsunmatched
  • Error Handlingunmatched
  • Gitunmatched
  • GitHubunmatched
  • Identify Issuesunmatched
  • Information/Data Security (InfoSec)unmatched
  • Metadataunmatched
  • Microsoft Product Familyunmatched
  • Microsoft SQL Serverunmatched
  • Microsoft Windows Azureunmatched
  • Operational Supportunmatched
  • Operations Processesunmatched
  • Performance Analysisunmatched
  • Performance Metricsunmatched
  • Power BIunmatched
  • Power Engineeringunmatched
  • Problem Solving Skillsunmatched
  • Production Systemsunmatched
  • Python Programming/Scripting Languageunmatched
  • Query Optimizationunmatched
  • REST (Representational State Transfer)unmatched
  • Reconciliationunmatched
  • Reporting Dashboardsunmatched
  • Requirements Managementunmatched
  • SQL (Structured Query Language)unmatched
  • Scalable System Developmentunmatched
  • Snowflake Schemaunmatched
  • Source Code/Configuration Management (SCM)unmatched
  • Star Schemaunmatched
  • Stored Proceduresunmatched
  • Structured Dataunmatched
  • Technical Deliveryunmatched
  • Technical Writingunmatched
  • Technical/Engineering Designunmatched
  • Test Plan/Scheduleunmatched

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