

Oreva Technologies, Inc.
Data Engineer - W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer - Analytics/BI in Charlotte, NC, hybrid onsite, with a 12-month contract. Requires 5+ years in data engineering, expert SQL, Python, AWS, and Power BI. Strong data pipeline and ETL/ELT experience needed.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 30, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
-
🧠 - Skills detailed
#Power Automate #Data Modeling #Data Architecture #Programming #Automation #Redshift #"ETL (Extract #Transform #Load)" #Complex Queries #SQL (Structured Query Language) #Microsoft Power BI #Python #Airflow #Data Migration #BI (Business Intelligence) #Data Engineering #dbt (data build tool) #Version Control #Data Orchestration #Migration #Deployment #GitHub #Data Pipeline #DAX #AWS (Amazon Web Services) #Cloud #Data Quality #S3 (Amazon Simple Storage Service)
Role description
Senior Data Engineer – Analytics/BI
Charlotte, NC – hybrid onsite
12 months
Required skills:
• 5+ years of professional experience in data engineering, business intelligence, or analytics
• Expert-level SQL skills (complex queries, window functions, CTEs, query optimization, stored procedures)
• Python programming for data engineering, automation, and analytics
• Data orchestration tools (Dagster strongly preferred; Airflow, Prefect, or similar also acceptable)
• AWS experience including S3, Redshift, and cloud data architectures
• Power BI development with advanced DAX, data modeling, and performance optimization
• GitHub for version control, code collaboration, and repository management
• Data pipeline development from source systems to analytics platforms
• Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT patterns
Highly Desired Skills (NOT REQUIRED)
• Power Platform (Power Apps, Power Automate) development experience
• Experience with ISU (Industry Solution for Utilities) or utility industry data
• AWS Redshift migration or cloud data migration projects
• Data quality frameworks and automated validation/testing
• CI/CD pipelines for data and BI deployments
• dbt (data build tool) for transformation workflows
DETAILS NEEDED
Please provide years of experience
• Data Engineering
• BI/Business Intelligence
• SQL – advanced level
• Python
• Data Orchestration
• AWS
• PowerBI development
• GitHub
• Data pipeline development
• ETL/ELT patterns
Senior Data Engineer – Analytics/BI
Charlotte, NC – hybrid onsite
12 months
Required skills:
• 5+ years of professional experience in data engineering, business intelligence, or analytics
• Expert-level SQL skills (complex queries, window functions, CTEs, query optimization, stored procedures)
• Python programming for data engineering, automation, and analytics
• Data orchestration tools (Dagster strongly preferred; Airflow, Prefect, or similar also acceptable)
• AWS experience including S3, Redshift, and cloud data architectures
• Power BI development with advanced DAX, data modeling, and performance optimization
• GitHub for version control, code collaboration, and repository management
• Data pipeline development from source systems to analytics platforms
• Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT patterns
Highly Desired Skills (NOT REQUIRED)
• Power Platform (Power Apps, Power Automate) development experience
• Experience with ISU (Industry Solution for Utilities) or utility industry data
• AWS Redshift migration or cloud data migration projects
• Data quality frameworks and automated validation/testing
• CI/CD pipelines for data and BI deployments
• dbt (data build tool) for transformation workflows
DETAILS NEEDED
Please provide years of experience
• Data Engineering
• BI/Business Intelligence
• SQL – advanced level
• Python
• Data Orchestration
• AWS
• PowerBI development
• GitHub
• Data pipeline development
• ETL/ELT patterns





