Maxonic
Data Engineer (Databricks & Power BI) (W2 Only)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Databricks & Power BI) with a contract length of "Unknown," offering a pay rate of "Unknown." Key skills include 5+ years in BI/Data Engineering, expertise in Azure Databricks, PySpark, SQL, and Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
July 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Emeryville, CA
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🧠 - Skills detailed
#Azure #Data Pipeline #Cloud #Azure Databricks #BI (Business Intelligence) #Spark SQL #PySpark #Microsoft Power BI #ADF (Azure Data Factory) #Spark (Apache Spark) #Data Engineering #"ETL (Extract #Transform #Load)" #GIT #Databricks #SQL (Structured Query Language) #Scala #DevOps #DAX #Azure DevOps #Azure cloud #ADLS (Azure Data Lake Storage) #Azure Data Factory
Role description
We are seeking an experienced Databricks & Power BI Consultant to design, develop, and deliver modern cloud-based data and analytics solutions. The ideal candidate will have strong expertise in Azure Databricks, PySpark, SQL, and Power BI, with hands-on experience building scalable data pipelines, optimizing data models, and developing interactive dashboards that enable business decision-making.
This role requires close collaboration with business stakeholders, data engineers, architects, and application teams to transform raw data into reliable, actionable insights while leveraging Azure cloud technologies and enterprise data engineering best practices.
Required Skills:
5+ years of BI/Data Engineering experience.
Hands-on experience with Databricks, PySpark, SQL, and Power BI.
Strong knowledge of DAX, Power Query, Azure Data Factory, and ADLS.
Experience with data warehousing, Git, and Azure DevOps.
Excellent analytical and communication skills.
We are seeking an experienced Databricks & Power BI Consultant to design, develop, and deliver modern cloud-based data and analytics solutions. The ideal candidate will have strong expertise in Azure Databricks, PySpark, SQL, and Power BI, with hands-on experience building scalable data pipelines, optimizing data models, and developing interactive dashboards that enable business decision-making.
This role requires close collaboration with business stakeholders, data engineers, architects, and application teams to transform raw data into reliable, actionable insights while leveraging Azure cloud technologies and enterprise data engineering best practices.
Required Skills:
5+ years of BI/Data Engineering experience.
Hands-on experience with Databricks, PySpark, SQL, and Power BI.
Strong knowledge of DAX, Power Query, Azure Data Factory, and ADLS.
Experience with data warehousing, Git, and Azure DevOps.
Excellent analytical and communication skills.
