

Akkodis
Azure Data Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Data Engineer on a 6-month contract in Acme, WA, with a pay rate of $56.00-$60.00/HR. Requires 6-8+ years of experience in Azure Data Factory, ETL/ELT, data modeling, and enterprise solutions.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
480
-
๐๏ธ - Date
December 17, 2025
๐ - Duration
More than 6 months
-
๐๏ธ - Location
On-site
-
๐ - Contract
Unknown
-
๐ - Security
Yes
-
๐ - Location detailed
Acme, WA
-
๐ง - Skills detailed
#"ETL (Extract #Transform #Load)" #Azure Data Factory #BI (Business Intelligence) #SSIS (SQL Server Integration Services) #Data Engineering #Microsoft Power BI #Databricks #Data Modeling #Security #ADF (Azure Data Factory) #Azure #Data Integration #Agile #Data Lake #Datasets #Scrum #Scala #Data Extraction
Role description
Akkodis is seeking a Senior Azure Data Engineer for a 6 Months contract in Acme, WA - Onsite
Rate Range: $56.00/HR. - $60.00/HR.; The rate may be negotiable based on experience, education, geographic location, and other factors.
Job Summary
We are seeking an experienced Senior Azure Data Engineer with 6โ8+ years of hands-on experience in Azure Data Factory (ADF) to design, build, and optimize scalable data integration and analytics solutions. The ideal candidate will have strong expertise in ETL/ELT pipelines, data modeling, Azure data services, and delivering enterprise-grade solutions that support reporting and analytics platforms such as Power BI.
Key Responsibilities
โข Experience in designing and developing solutions using Microsoft technologies.
โข Strong ability to deliver highly impactful solutions to problems using the latest technology.
โข Experience of all phases of the Software Development Life Cycle (SDLC) using Agile Scrum and Waterfall models.
โข Build data Models for sales and inventory datasets using dimensional modeling principles, integrated with ADF pipelines and Power BI Dashboards.
โข Experience of designing and developing enterprise applications using MVC (Model View Controller) Architecture.
โข Experienced of Data Extraction, Transformation, and Loading (ETL) between Homogenous and Heterogeneous Systems using SSIS, Azure Data Lake, Azure Data Factory, Azure Fabric, and Databricks.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at Raja.Sekhar@akkodisgroup.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
ยท The California Fair Chance Act
ยท Los Angeles City Fair Chance Ordinance
ยท Los Angeles County Fair Chance Ordinance for Employers
ยท San Francisco Fair Chance Ordinance
Akkodis is seeking a Senior Azure Data Engineer for a 6 Months contract in Acme, WA - Onsite
Rate Range: $56.00/HR. - $60.00/HR.; The rate may be negotiable based on experience, education, geographic location, and other factors.
Job Summary
We are seeking an experienced Senior Azure Data Engineer with 6โ8+ years of hands-on experience in Azure Data Factory (ADF) to design, build, and optimize scalable data integration and analytics solutions. The ideal candidate will have strong expertise in ETL/ELT pipelines, data modeling, Azure data services, and delivering enterprise-grade solutions that support reporting and analytics platforms such as Power BI.
Key Responsibilities
โข Experience in designing and developing solutions using Microsoft technologies.
โข Strong ability to deliver highly impactful solutions to problems using the latest technology.
โข Experience of all phases of the Software Development Life Cycle (SDLC) using Agile Scrum and Waterfall models.
โข Build data Models for sales and inventory datasets using dimensional modeling principles, integrated with ADF pipelines and Power BI Dashboards.
โข Experience of designing and developing enterprise applications using MVC (Model View Controller) Architecture.
โข Experienced of Data Extraction, Transformation, and Loading (ETL) between Homogenous and Heterogeneous Systems using SSIS, Azure Data Lake, Azure Data Factory, Azure Fabric, and Databricks.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at Raja.Sekhar@akkodisgroup.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
ยท The California Fair Chance Act
ยท Los Angeles City Fair Chance Ordinance
ยท Los Angeles County Fair Chance Ordinance for Employers
ยท San Francisco Fair Chance Ordinance






