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Power BI Engineer

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: LanceSoft Inc
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Client: LA Superior Courts

Title:

Power BI Engineer Duration: ASAP – 12 months

Location:

11701 S. La Cienega Los Angeles, CA 90045 Position:
Remote (however, they may have to travel on site or to other courts or conferences on occasions).

Note:

Please provide three samples of their Power BI visualization work they have done alongside their resume.

Job Description:

We are looking for a highly skilled Power BI Engineer. The individual should have hands‑on experience in end‑to‑end Power BI and expert in administration of its services.

Desirables:
  • Expert-level understanding of Power BI ecosystem, including Desktop, Service, Premium capacities, Dataflows, Data Mart, Gateways, and Fabric workloads.
  • Advanced Power BI development skills building interactive, visually compelling dashboards
  • Expert in Power BI Service administration, including managing user access, security roles, and permissions within the service.
  • Knowledge of migrating Power BI between work spaces and Microsoft Fabric
  • Advanced SQL scripting for analytical queries, stored procedures, and performance tuning.
  • In-depth knowledge of DAX and Power Query (M) for advanced calculations, transformations, and optimization.
  • Comprehensive understanding of Power BI governance, including workspace design, deployment pipelines, RLS security models, sensitivity labels, and tenant-level configuration.
  • Strong knowledge of data modeling concepts, including star/snowflake schemas, dimensional modeling, normalization, and semantic layer design.
  • Understanding of enterprise data architecture, including cloud data warehousing (e.g., Snowflake, SQL Server, Synapse, Fabric Lakehouse), ETL/ELT patterns, and data lifecycle management.
  • Knowledge of BI best practices, including performance tuning, measure optimization, visual accessibility, UX design standards, and report usability.
  • Familiarity with Dev Ops practices, version control (Git), automated refresh, CI/CD for Power BI, and ALM Toolkit.
  • Experience with SQL Server Reporting Services
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