GForce Life Sciences

Power BI Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Business Intelligence (Power BI) Developer on a 12-month remote contract, offering competitive pay. Key skills include expert-level Power BI, strong T-SQL, and experience with Microsoft Fabric and Azure Analytics. 7+ years of BI experience required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
December 18, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Illinois, United States
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🧠 - Skills detailed
#Scala #Snowflake #Monitoring #DAX #Microsoft SQL Server #CRM (Customer Relationship Management) #DevOps #Azure #SQL Server #Capacity Management #Indexing #Data Mart #Data Management #Databricks #BI (Business Intelligence) #Security #Azure DevOps #GIT #Microsoft Power BI #Deployment #Data Pipeline #Documentation #MS SQL (Microsoft SQL Server) #Semantic Models #Data Ingestion #Compliance #Data Governance #Data Lineage #Computer Science #SQL (Structured Query Language) #Datasets #Data Catalog #Visualization #Data Modeling #Metadata #Data Warehouse #"ETL (Extract #Transform #Load)" #Microsoft SQL #Synapse
Role description
Job Title: Senior Business Intelligence (Power BI) Developer Remote - CST Hours 12-month contract About the Role: We are seeking a Senior Business Intelligence (Power BI) Developer to lead end-to-end data modeling, visualization, and analytics solutions across Microsoft Fabric and Azure Analytics. This role drives enterprise BI initiatives by building scalable, high-performance datasets and reports, optimizing DAX, and establishing governance and best practices. You will collaborate closely with product, engineering, and business stakeholders to deliver insights that power critical decision-making. Key Responsibilities: β€’ Design, develop, and maintain enterprise-grade Power BI datasets, semantic models, and reports using star/snowflake schemas and advanced DAX. β€’ Build performant T‑SQL data pipelines, views, and stored procedures for curated data marts and dimensional models, including SCD handling and surrogate keys. β€’ Leverage Microsoft Fabric (OneLake, Lakehouse, Data Warehouse) and Azure Analytics services (Synapse, Data Factory, Databricks) for data ingestion, transformation, and governance. β€’ Implement row-level and object-level security (RLS/OLS), certified datasets, and workspace governance aligned to security and compliance standards. β€’ Optimize BI performance: tune DAX queries, model relationships, aggregations, incremental refresh, and DirectQuery/Composite models. β€’ Apply CI/CD and versioning practices for BI assets via Azure DevOps/Git, including deployment pipelines and parameterization. β€’ Collaborate with stakeholders to define requirements, success metrics, and deliver actionable insights; present findings to both technical and non-technical audiences. β€’ Document data lineage, semantic definitions, and KPIs; maintain data catalog and usage guidelines. β€’ Support production operations: monitor refreshes, troubleshoot issues, and drive continuous improvement across the BI estate. Required Qualifications: β€’ Bachelor’s or Master’s in Computer Science, Information Systems, or related field. β€’ Expert-level Power BI: DAX (calculated columns/measures), tabular modeling, hierarchies, calculation groups, and advanced filtering. β€’ Strong Microsoft SQL Server/T‑SQL skills: dimensional modeling, performance tuning, indexing, ETL/ELT patterns. β€’ Hands-on experience with Microsoft Fabric and/or Azure Analytics (Synapse, Data Factory, Databricks). β€’ Proven rigor: disciplined testing, validation, documentation, and enforcement of data standards. β€’ Excellent communication skills: translate business needs into technical designs and present complex concepts clearly. β€’ 7+ years of experience delivering enterprise BI solutions. Preferred Qualifications: β€’ Experience with Azure DevOps/Git for source control, CI/CD, and deployment pipelines. β€’ Exposure to Salesforce data models or Customer Data Platforms (CDP) for CRM integration and customer analytics. β€’ Power BI Administration: tenant settings, capacity management, monitoring, and usage analytics. β€’ Advanced performance tuning: aggregation tables, composite models, calculation groups, query caching. β€’ Data governance, cataloging, and metadata management (e.g., Purview).