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, strong DAX skills, and 2+ years with Apache Spark and Databricks. Proficiency in Python and ETL processes is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 15, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
Corp-to-Corp (C2C)
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Pleasanton, CA
-
🧠 - Skills detailed
#Model Optimization #Storage #Microsoft Power BI #Agile #Automation #Version Control #Databases #Scrum #BI (Business Intelligence) #Azure Data Factory #Apache Spark #Big Data #Visualization #Data Pipeline #Spark (Apache Spark) #Synapse #AWS (Amazon Web Services) #Databricks #GIT #Cloud #Python #Data Manipulation #DAX #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Azure
Role description
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.
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.
