AL
Power BI Engineer / Developer
Artech LLC
- 🇺🇸 United States
- On-site
- 4 hours ago
- $40 – $42 / hour
- Power BI
- Microsoft Power BI
- DAX
- Power Query
- Snowflake
- REST API
- Microsoft Fabric
- ETL
- ELT
- SQL
- Python
- PySpark
- Devops
- Git
- CI/CD
- Azure DevOps
- GitHub
- Agile
- Azure
- Azure Data Factory
- Azure Synapse
- Azure Databricks
- Fabric
- Delta Lake
- Azure SQL
4 hours ago
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Power BI Engineer / Developer · Artech LLC