Yorkshire Global Solutions Inc.
Data Engineer (W2 Only)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (W2 Only) with 10+ years of experience, offering a remote contract. Key skills include Python, SQL, Apache Spark, and cloud technologies (Azure, AWS). Strong ETL/ELT and data pipeline expertise required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 31, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Integration #Kafka (Apache Kafka) #AWS (Amazon Web Services) #Data Quality #Airflow #Scala #PySpark #Azure #Apache Spark #Data Lineage #Security #Delta Lake #Infrastructure as Code (IaC) #Documentation #Monitoring #Data Lake #Data Analysis #Data Pipeline #Version Control #Data Engineering #Snowflake #Data Processing #Deployment #Data Ingestion #Dimensional Data Models #BI (Business Intelligence) #Azure Data Factory #ADF (Azure Data Factory) #Data Warehouse #Databricks #Data Modeling #Python #Spark (Apache Spark) #SQL (Structured Query Language) #GIT #Cloud #SQL Queries #"ETL (Extract #Transform #Load)" #Batch #Data Science
Role description
Hi,
This is Prashant, a Lead Recruiter from Yorkshire Global Solutions Inc.
We are currently hiring for the below role.
Note
This is a W2 role only. Please Do Not Apply if you are a 1099/C2C Candidate.
Visa Accepted: USC, GC, H4 EAD, L2 EAD, H1B Transfer (Not considering H1B candidates)
Once you apply, please ping me with your Visa Status:
https://www.linkedin.com/in/usaprashantrathore/
Job Title
Data Engineer (W2 Candidates Only)
Location: USA Remote
Minimum Experience: 10+ Years
Must-Have Technologies
Python | SQL | Apache Spark | PySpark | Databricks | Snowflake | Azure Data Factory | Azure | AWS | Microsoft Fabric | ETL | ELT | Data Pipelines | Data Warehousing | Data Modeling | Delta Lake | Kafka | Airflow | Git | CI/CD
Job Description
• Design, develop, and maintain scalable data pipelines to support enterprise data integration, analytics, and reporting initiatives.
• Build and optimize ETL/ELT workflows using Python, SQL, Apache Spark, PySpark, Azure Data Factory, Databricks, Airflow, or similar data engineering tools.
• Develop and manage modern cloud-based data platforms using Azure, AWS, Snowflake, Microsoft Fabric, and Delta Lake technologies.
• Design, implement, and optimize data warehouses, data lakes, and dimensional data models to support business intelligence and advanced analytics.
• Collaborate with Data Scientists, Data Analysts, Business Intelligence teams, Product Owners, and Software Engineers to deliver reliable and high-quality data solutions.
• Optimize SQL queries, Spark jobs, and data processing frameworks to improve performance, scalability, and overall system efficiency.
• Implement data quality, validation, governance, security, and monitoring processes to ensure the accuracy, consistency, and reliability of enterprise data.
• Develop real-time and batch data ingestion solutions using Kafka, streaming technologies, APIs, and cloud-native integration services.
• Automate deployment, testing, version control, and monitoring of data engineering solutions using Git, CI/CD pipelines, and Infrastructure as Code best practices.
• Create and maintain technical documentation, architecture diagrams, data lineage, operational runbooks, and support production environments while driving continuous process improvements.
Hi,
This is Prashant, a Lead Recruiter from Yorkshire Global Solutions Inc.
We are currently hiring for the below role.
Note
This is a W2 role only. Please Do Not Apply if you are a 1099/C2C Candidate.
Visa Accepted: USC, GC, H4 EAD, L2 EAD, H1B Transfer (Not considering H1B candidates)
Once you apply, please ping me with your Visa Status:
https://www.linkedin.com/in/usaprashantrathore/
Job Title
Data Engineer (W2 Candidates Only)
Location: USA Remote
Minimum Experience: 10+ Years
Must-Have Technologies
Python | SQL | Apache Spark | PySpark | Databricks | Snowflake | Azure Data Factory | Azure | AWS | Microsoft Fabric | ETL | ELT | Data Pipelines | Data Warehousing | Data Modeling | Delta Lake | Kafka | Airflow | Git | CI/CD
Job Description
• Design, develop, and maintain scalable data pipelines to support enterprise data integration, analytics, and reporting initiatives.
• Build and optimize ETL/ELT workflows using Python, SQL, Apache Spark, PySpark, Azure Data Factory, Databricks, Airflow, or similar data engineering tools.
• Develop and manage modern cloud-based data platforms using Azure, AWS, Snowflake, Microsoft Fabric, and Delta Lake technologies.
• Design, implement, and optimize data warehouses, data lakes, and dimensional data models to support business intelligence and advanced analytics.
• Collaborate with Data Scientists, Data Analysts, Business Intelligence teams, Product Owners, and Software Engineers to deliver reliable and high-quality data solutions.
• Optimize SQL queries, Spark jobs, and data processing frameworks to improve performance, scalability, and overall system efficiency.
• Implement data quality, validation, governance, security, and monitoring processes to ensure the accuracy, consistency, and reliability of enterprise data.
• Develop real-time and batch data ingestion solutions using Kafka, streaming technologies, APIs, and cloud-native integration services.
• Automate deployment, testing, version control, and monitoring of data engineering solutions using Git, CI/CD pipelines, and Infrastructure as Code best practices.
• Create and maintain technical documentation, architecture diagrams, data lineage, operational runbooks, and support production environments while driving continuous process improvements.
