

W2 Senior Azure Data Engineer Remote
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Azure Data Engineer, 12-month W2 contract, 100% remote. Requires 12+ years of experience, strong Azure Cloud skills, SQL expertise, and a background in BI/SQL/ETL. No Big Data experience needed; familiarity with Azure services is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 3, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Alaska, United States
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π§ - Skills detailed
#Azure Stream Analytics #Data Migration #Spark (Apache Spark) #Microsoft Power BI #Data Processing #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #PySpark #ADLS (Azure Data Lake Storage) #SAP #Azure SQL Data Warehouse #Schema Design #Azure cloud #Data Integration #Azure #Deployment #AI (Artificial Intelligence) #Azure SQL #IoT (Internet of Things) #SQL (Structured Query Language) #Data Engineering #Synapse #BI (Business Intelligence) #Storage #ADF (Azure Data Factory) #Data Warehouse #DevOps #Databricks #Azure Data Factory #Migration #Cloud #SAP Hana
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Arkhya Tech, is seeking the following. Apply via Dice today!
Title: Senior/Lead Azure Data Engineer
Location: 100% Remote
Duration: 12 Months Contract
Job Type: Only W2 Contract (No C2C or 1099)
The consultant has to be open to work on W2
Looking for a Lead level person Min 12+ Years
Someone who has been a BI/SQL/ETL Developer in the initial stages of their career and slowly transitioned into the Data Engineering
The consultant should be mainly focused on Azure Cloud
There should not be anything related to Bigdata in the resume.
Description
β’ Enterprise Data modelling / Design
β’ Azure SQL Data Warehouse (Synapse)
β’ PySpark
β’ SQL
β’ ADF / Any Enterprise ETL Tool
β’ ADLS / any cloud storage
β’ Should be able to understand the technical specifications and able to work independently with minimal or no supervision
Must have Skills :
Extensive experience providing practical direction within azure native services , implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Synapse/DW /Azure SQL DB, Fabric.
Proven experience with SQL, namely schema design and dimensional data modelling
Solid knowledge of data warehouse best practices, development standards and methodologies
Strong experience with Azure Cloud on data integration with Databricks
Be an independent self-learner with the "let's get this done" approach and ability to work in Fast paced and Dynamic environment
Nice-to-Have Skills:
Basic understanding on ML Studio, AI/ML, MLOps etc.
Good to have Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo Db knowledge.
Good to have SAP Hana knowledge
Intermediate knowledge on Power BI
Good to have knowledge in DevOps and CI/CD deployments, Cloud migration methodologies and processes.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Arkhya Tech, is seeking the following. Apply via Dice today!
Title: Senior/Lead Azure Data Engineer
Location: 100% Remote
Duration: 12 Months Contract
Job Type: Only W2 Contract (No C2C or 1099)
The consultant has to be open to work on W2
Looking for a Lead level person Min 12+ Years
Someone who has been a BI/SQL/ETL Developer in the initial stages of their career and slowly transitioned into the Data Engineering
The consultant should be mainly focused on Azure Cloud
There should not be anything related to Bigdata in the resume.
Description
β’ Enterprise Data modelling / Design
β’ Azure SQL Data Warehouse (Synapse)
β’ PySpark
β’ SQL
β’ ADF / Any Enterprise ETL Tool
β’ ADLS / any cloud storage
β’ Should be able to understand the technical specifications and able to work independently with minimal or no supervision
Must have Skills :
Extensive experience providing practical direction within azure native services , implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Synapse/DW /Azure SQL DB, Fabric.
Proven experience with SQL, namely schema design and dimensional data modelling
Solid knowledge of data warehouse best practices, development standards and methodologies
Strong experience with Azure Cloud on data integration with Databricks
Be an independent self-learner with the "let's get this done" approach and ability to work in Fast paced and Dynamic environment
Nice-to-Have Skills:
Basic understanding on ML Studio, AI/ML, MLOps etc.
Good to have Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo Db knowledge.
Good to have SAP Hana knowledge
Intermediate knowledge on Power BI
Good to have knowledge in DevOps and CI/CD deployments, Cloud migration methodologies and processes.