Power BI Engineer- NO C2C
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Power BI Engineer with a long-term contract, hybrid location in Pleasanton, CA. Requires 5+ years in Power BI, DAX, and Python, plus 2+ years with Apache Spark and Databricks. Familiarity with cloud tools and Agile preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
June 15, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Corp-to-Corp (C2C)
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Pleasanton, CA
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🧠 - Skills detailed
#Cloud #Data Manipulation #Scrum #Apache Spark #Databases #Agile #BI (Business Intelligence) #Python #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Synapse #Visualization #Microsoft Power BI #Storage #GIT #Azure #Data Pipeline #Automation #ADF (Azure Data Factory) #Version Control #Model Optimization #Databricks #Azure Data Factory #Spark (Apache Spark) #DAX #Big Data
Role description
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Power BI Engineer
Location: Hybrid - Pleasanton, CA
Duration: Long Term
Job Description:
Design, develop, and maintain interactive dashboards, reports, and visualizations using Power BI.
Develop and optimize data pipelines and ETL workflows using Apache Spark, Databricks, and Python.
Integrate data from diverse systems including relational databases, APIs, and cloud storage (Azure, AWS, etc.).
Enhance reporting performance through DAX optimization and data model tuning.
5+ years of hands-on experience building dashboards and reports in Power BI.
Strong proficiency in DAX, Power Query (M language), and data model optimization techniques.
Solid experience with Python for data manipulation, automation, and integration tasks.
2+ years of experience working with Apache Spark and Databricks in a production environment.
Experience with data pipelines, ETL/ELT processes, and big data tools.
Understanding of data warehousing concepts, dimensional modeling, and OLAP.
Preferred Qualifications
Experience with Azure Data Factory, Synapse, or other cloud-native data tools.
Familiarity with CI/CD pipelines and version control systems (e.g., Git).
Experience working in an Agile/Scrum environment.
