

Data Engineer (with Power BI Skills)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (with Power BI Skills) based in Dallas, TX, for a contract of unspecified length. Pay rate is competitive. Requires 5-8 years of experience, expertise in Snowflake, AWS, Python, SQL, and data warehousing principles.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 11, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Dallas, TX
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π§ - Skills detailed
#Snowflake #Data Vault #Programming #Microsoft Power BI #AWS S3 (Amazon Simple Storage Service) #Scala #Data Warehouse #Vault #Cloud #Data Storage #Data Pipeline #Monitoring #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #SSRS (SQL Server Reporting Services) #Data Engineering #SSIS (SQL Server Integration Services) #Storage #SQL Queries #Data Extraction #Data Lake #Python #Scripting #Apache Airflow #AWS Glue #SQL (Structured Query Language) #SSAS (SQL Server Analysis Services) #BI (Business Intelligence) #Airflow #S3 (Amazon Simple Storage Service) #Automation
Role description
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Title- Data Engineer (with power BI skills)
Location- Dallas, TX (in the office 5 days a week) ; Need local consultant only
Mandatory Skills (Expert Level Exp) : Strong knowledge on cloud Data Warehouse (preferably snowflake) , AWS, Python, PowerBI
Required Skills:
Primary:
β’ Experience: 5 β 8 years or more
β’ SQL Expertise: Develop and optimise complex SQL queries for data extraction, transformation, and loading (ETL) processes.
β’ Implement SQL procedures, with a focus on Slowly Changing Dimension (SCD) implementation.
β’ Data Warehousing: Expertise in data warehousing principles with a deep understanding of facts and dimensions.
β’ Familiarity with Data Vault architecture for scalable and flexible data modelling.
β’ Snowflake: Proficient in working with the Snowflake data platform, ensuring the design and implementation of scalable data storage and processing solutions.
β’ AWS: Familiar with AWS S3 Data Lake and AWS Glue
β’ Airflow: Implement and manage data pipelines using Apache Airflow for scheduling, monitoring, and orchestrating ETL processes.
Secondary:
β’ Programming and CI/CD Skills: Utilize Python for data engineering tasks, automation, and scripting. Familiar with CI/CD framework
β’ Power BI (Good to Have): Good to have experience in generating reports from Power BI
β’ Additional Skills (Good to Have): Working experience with Microsoft BI stack: SSIS, SSAS, SSRS.