Business Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Engineer in Seattle, WA, with a 6-month W2 contract. Requires 5+ years in data analysis, SQL, and visualization tools (Tableau/Quicksight). Proficiency in Python and statistical analysis tools (R/SAS) is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Visualization #Oracle #R #Scripting #Redshift #Python #SQL (Structured Query Language) #Data Quality #Data Modeling #Datasets #Databases #Scala #NoSQL #Data Processing #Data Analysis #Matlab #Tableau #SAS #BI (Business Intelligence) #SQL Queries
Role description
Job Title: Business Intelligence Engineer
Location: Seattle, WA (5 Days Onsite)
Type: Contract (W2 Only)
NOTE: We are currently seeking candidates for this position on a W2 contract basis only. Other employment types are not being considered. About the Role:
We are seeking an experienced Business Intelligence Engineer with a strong background in data analysis, visualization, and pipeline development. The ideal candidate will have the ability to translate complex datasets into meaningful insights that drive business decisions.
Key Responsibilities
• Design, develop, and maintain scalable data models, warehouses, and ETL pipelines.
• Work with stakeholders to define data requirements and deliver actionable insights.
• Build and maintain dashboards and reports using Tableau, Quicksight, or similar visualization tools.
• Perform statistical analyses using tools such as R, SAS, or Matlab to support data-driven strategies.
• Write efficient SQL queries to extract, manipulate, and analyze data from Redshift, Oracle, NoSQL, or other databases.
• Use Python scripting for advanced data processing and modeling workflows.
• Ensure data quality, reliability, and availability across business systems.
Required Qualifications
• Minimum 5+ years of hands-on experience in analyzing and interpreting data using Redshift, Oracle, NoSQL, or related databases.
• Strong experience with data visualization tools (Tableau, Quicksight, or similar).
• Proven experience with data modeling, warehousing, and building ETL pipelines.
• Proficiency in SQL and scripting languages, particularly Python.
• Experience with statistical analysis tools such as R, SAS, or Matlab.
• Excellent problem-solving skills with the ability to work in fast-paced environments.
Preferred Qualifications
• Prior experience working in MAANG or similar large-scale technology environment.
• Strong communication skills to collaborate effectively with cross-functional teams.
Please share your resumes to jhansi@intellisavvy.com or trilok@intellisavv.com
Job Title: Business Intelligence Engineer
Location: Seattle, WA (5 Days Onsite)
Type: Contract (W2 Only)
NOTE: We are currently seeking candidates for this position on a W2 contract basis only. Other employment types are not being considered. About the Role:
We are seeking an experienced Business Intelligence Engineer with a strong background in data analysis, visualization, and pipeline development. The ideal candidate will have the ability to translate complex datasets into meaningful insights that drive business decisions.
Key Responsibilities
• Design, develop, and maintain scalable data models, warehouses, and ETL pipelines.
• Work with stakeholders to define data requirements and deliver actionable insights.
• Build and maintain dashboards and reports using Tableau, Quicksight, or similar visualization tools.
• Perform statistical analyses using tools such as R, SAS, or Matlab to support data-driven strategies.
• Write efficient SQL queries to extract, manipulate, and analyze data from Redshift, Oracle, NoSQL, or other databases.
• Use Python scripting for advanced data processing and modeling workflows.
• Ensure data quality, reliability, and availability across business systems.
Required Qualifications
• Minimum 5+ years of hands-on experience in analyzing and interpreting data using Redshift, Oracle, NoSQL, or related databases.
• Strong experience with data visualization tools (Tableau, Quicksight, or similar).
• Proven experience with data modeling, warehousing, and building ETL pipelines.
• Proficiency in SQL and scripting languages, particularly Python.
• Experience with statistical analysis tools such as R, SAS, or Matlab.
• Excellent problem-solving skills with the ability to work in fast-paced environments.
Preferred Qualifications
• Prior experience working in MAANG or similar large-scale technology environment.
• Strong communication skills to collaborate effectively with cross-functional teams.
Please share your resumes to jhansi@intellisavvy.com or trilok@intellisavv.com
