

Business Intelligence Architect/Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Architect/Developer with 2-4 years of experience. Contract length is unspecified, and pay rate is "unknown." Key skills include SQL, Azure, AWS, and data modeling. Experience with ETL processes and machine learning is required.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 17, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Fairfax, VA
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π§ - Skills detailed
#Data Processing #AI (Artificial Intelligence) #Azure Data Factory #Data Analysis #Microsoft SQL Server #SAS #Teradata #SQL Server #MS SSRS (Microsoft SQL Server Reporting Services) #Data Science #SSIS (SQL Server Integration Services) #Azure #Microsoft Azure #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Databricks #Microsoft SQL #SQL (Structured Query Language) #ML (Machine Learning) #JSON (JavaScript Object Notation) #SSRS (SQL Server Reporting Services) #Databases #Data Cleansing #Normalization #AWS (Amazon Web Services) #Microsoft Power BI #ADF (Azure Data Factory) #Snowflake #MS SQL (Microsoft SQL Server) #Data Lake #R #BI (Business Intelligence) #Data Modeling #Data Warehouse
Role description
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About this Position:
Job Title: Business Intelligence Architect/Developer
Years of experience required: 2-4 years
Roles and Responsibilities:
β’ Versed in Business Intelligence and data analysis software systems and concepts.
β’ Architect/Developer should have strong technical experience in data analysis, business intelligence, and/or data science. This includes ability to define and document requirements, including data flows and diagrams. Able to provide application analysis and data modeling design support to collect and distribute data; assist with query and reporting analysis to access data warehouses and archives
β’ This includes the ability to work with data in all stages of data processing including ETL, denormalization of data, data cleansing etc.
β’ Must have an understanding of a variety of data stores, databases, data warehouses, and data lake houses. Should possess ability to work with a variety of software to include but not limited to SQL Server Integration Services, Azure Data Factory, Microsoft SQL Server Reporting Services, Data studio, Databricks and can work with a variety of languages and data formats such as parquet and json.
β’ Knowledge of Machine Learning modeling and AI prompt engineering. Able to work environments where multiple data systems are involved and would be required to help make sharing data between these systems possible.
Additional Description:
β’ Microsoft Azure
β’ AWS
β’ Google
β’ Apache/Spark
β’ Elastic
β’ R
β’ Power BI
β’ Databricks
β’ Elastic
β’ SAS
β’ Snowflake
β’ Teradata
Note: For H-1B and OPT cases, we are seeking candidates from recognised organizations.
"No phone calls please."